<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom">
    <title>python</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/85/feed"/>
    <updated>2026-04-30T22:18:07+00:00</updated>
    <id>https://links.biapy.com/guest/tags/85/feed</id>
            <entry>
            <id>https://links.biapy.com/links/12649</id>
            <title type="text"><![CDATA[Package Manager Guard (PMG)]]></title>
            <link rel="alternate" href="https://github.com/safedep/pmg" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12649"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PMG protects developers, AI agents from malicious open source packages using proxy, sandbox and SafeDep&amp;#039;s threat intelligence feed. 

PMG intercepts every package install and checks it for malware before code executes. Install it once, and every npm install, pip install, and poetry add is protected automatically.]]>
            </summary>
            <updated>2026-04-29T14:21:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12564</id>
            <title type="text"><![CDATA[CadQuery]]></title>
            <link rel="alternate" href="https://cadquery.github.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12564"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Create parametric CAD models with Python.
 A python parametric CAD scripting framework based on OCCT .

CadQuery is an open-source Python library for building 3D CAD models. It lets you describe parts as code, making models easy to version, share, and parameterize - no GUI required.

- [CadQuery @ GitHub](https://github.com/cadquery/cadquery).]]>
            </summary>
            <updated>2026-04-17T11:39:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12554</id>
            <title type="text"><![CDATA[Supply Chain Monitor]]></title>
            <link rel="alternate" href="https://github.com/elastic/supply-chain-monitor" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12554"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Automated monitoring of the top PyPI and npm packages for supply chain compromise. Polls both registries for new releases, diffs each release against its predecessor, and uses an LLM (via Cursor Agent CLI) to classify diffs as benign or malicious. Malicious findings trigger a Slack alert.

Related contents:

- [\#72 - Microsoft et Adobe corrigent une vulnérabilité déjà exploitée @ Erreur 403 :fr:](https://newsletter.erreur403.fr/p/erreur-403-72-microsoft-et-adobe-corrigent-une-vuln-rabilit-d-j-exploit-e).]]>
            </summary>
            <updated>2026-04-16T11:38:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12548</id>
            <title type="text"><![CDATA[Plain]]></title>
            <link rel="alternate" href="https://plainframework.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12548"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Python web framework for building apps.

A familiar foundation, reimagined for humans and agents.
Plain is a fork of Django, driven by ongoing development at PullApprove — with the freedom to reimagine it for the agentic era.

- [Plain @ GitHub](https://github.com/dropseed/plain).]]>
            </summary>
            <updated>2026-04-15T11:45:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12536</id>
            <title type="text"><![CDATA[Django VCache]]></title>
            <link rel="alternate" href="https://vcache.glitchtip.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12536"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A fast, async-native Django cache backend for Valkey (and Redis). Opinionated and secure by default.

- [Django VCache @ GitLab](https://gitlab.com/glitchtip/django-vcache).

Related contents:

- [Making Django faster: django-vcache @ GlitchTip Blog](https://glitchtip.com/blog/2026-04-02-django-vcache).]]>
            </summary>
            <updated>2026-04-14T06:17:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12387</id>
            <title type="text"><![CDATA[Claw Code]]></title>
            <link rel="alternate" href="https://github.com/ultraworkers/claw-code" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12387"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Rewrite of Claude Code

 The fastest repo in history to surpass 50K stars ⭐, reaching the milestone in just 2 hours after publication. Better Harness Tools that make real things done. Now writing in Rust using oh-my-codex. 

Related contents:

- [Diving into Claude Code&amp;#039;s Source Code Leak @ Engineer&amp;#039;s Codex](https://read.engineerscodex.com/p/diving-into-claude-codes-source-code).]]>
            </summary>
            <updated>2026-04-03T12:59:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12333</id>
            <title type="text"><![CDATA[Pts.py]]></title>
            <link rel="alternate" href="https://ptspy.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12333"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Pts.py is an experimental library for visual thinking.

A vision appears. It twinkles in the vast space of imagination. We squint to connect the dots in a sky full of stars.

Pts.py is an experimental librar for for creative coding, visualization and play. It explores principles of visual composability in code. I started this series of explorations, first with an idea about a simple point (Pt, 2015), then an idea about connecting them, (Pts.js, 2017). Starting anew in Pts.py (2025), this is again both a software library and a speculative playground.

- [Pts.py @ GitHub](https://github.com/williamngan/ptspy).]]>
            </summary>
            <updated>2026-03-28T11:50:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12304</id>
            <title type="text"><![CDATA[Instructor]]></title>
            <link rel="alternate" href="https://useinstructor.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12304"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Structure LLM Outputs with Ease.
Structured outputs powered by LLMs.

The simplest way to extract structured data from LLMs with type safety and validation.

Get reliable JSON from any LLM. Built on Pydantic for validation, type safety, and IDE support.

- [Instructor (Python) documentation](https://python.useinstructor.com/).
- [Instructor (Python) @ GitHub](https://github.com/567-labs/instructor).

- [Instructor (JS) documentation](https://js.useinstructor.com/).
- [Instructor (JS) @ GitHub](https://github.com/567-labs/instructor-js).]]>
            </summary>
            <updated>2026-03-26T15:59:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12292</id>
            <title type="text"><![CDATA[HTTPXYZ]]></title>
            <link rel="alternate" href="https://httpxyz.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12292"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A next-generation HTTP client for Python.

HTTPXYZ (pronounced &amp;quot;HTTP-ex-why-zee&amp;quot;) is a fully featured HTTP client for Python 3, which provides sync and async APIs, and support for both HTTP/1.1 and HTTP/2.

- [HTTPXYZ @ Codeberg](https://codeberg.org/httpxyz/httpxyz).

Related contents:

- [Why I forked httpx @ Michiel&amp;#039;s Blog](https://tildeweb.nl/~michiel/httpxyz.html).]]>
            </summary>
            <updated>2026-03-26T12:46:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12272</id>
            <title type="text"><![CDATA[Scrapy]]></title>
            <link rel="alternate" href="https://www.scrapy.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12272"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Scrapy, a fast high-level web crawling &amp;amp; scraping framework for Python.

- [Scrapy @ GitHub](https://github.com/scrapy/scrapy).]]>
            </summary>
            <updated>2026-03-24T08:31:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12262</id>
            <title type="text"><![CDATA[Requests]]></title>
            <link rel="alternate" href="https://requests.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12262"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Requests is an elegant and simple HTTP library for Python, built for human beings.

- [Requests @ GitHub](https://github.com/psf/requests).

Related contents:

- [Open Source Gave Me Everything Until I Had Nothing Left to Give @ Kenneth Reitz](https://kennethreitz.org/essays/2026-03-18-open_source_gave_me_everything_until_i_had_nothing_left_to_give).
- [Kenneth Reitz - Quand le libre te bouffe @ Korben :fr:](https://korben.info/kenneth-reitz-open-source-burnout.html).]]>
            </summary>
            <updated>2026-03-23T16:07:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12251</id>
            <title type="text"><![CDATA[notebooklm-py]]></title>
            <link rel="alternate" href="https://github.com/teng-lin/notebooklm-py" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12251"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Unofficial Python API and agentic skill for Google NotebookLM. Full programmatic access to NotebookLM&amp;#039;s features—including capabilities the web UI doesn&amp;#039;t expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw. 

Related contents:

- [notebooklm-py - L&amp;#039;API Python que Google refuse de sortir @ Korben :fr:](https://korben.info/notebooklm-py-api-python-non-officielle.html).]]>
            </summary>
            <updated>2026-03-23T15:23:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12184</id>
            <title type="text"><![CDATA[Machine Payments Protocol]]></title>
            <link rel="alternate" href="https://mpp.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12184"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The open protocol for machine-to-machine payments. Charge for API requests, tool calls, or content—agents and apps pay per request in the same HTTP call.]]>
            </summary>
            <updated>2026-03-19T12:56:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12179</id>
            <title type="text"><![CDATA[Faiss]]></title>
            <link rel="alternate" href="https://faiss.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12179"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning.

- [Faiss @ GitHub](https://github.com/facebookresearch/faiss).

Related contents:

- [How to Ship a Production-Ready RAG App with FAISS (Guardrails, Evals, and Fallbacks) @ freeCodeCamp](https://www.freecodecamp.org/news/build-rag-app-faiss-fastapi/).]]>
            </summary>
            <updated>2026-03-18T16:13:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12163</id>
            <title type="text"><![CDATA[Oxyde ORM]]></title>
            <link rel="alternate" href="https://oxyde.fatalyst.dev/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12163"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Oxyde ORM is a type-safe, Pydantic-centric asynchronous ORM with a high-performance Rust core designed for clarity, speed, and reliability.

Inspired by the elegance of Django’s ORM, Oxyde focuses on explicitness over magic, providing a modern developer-friendly workflow with predictable behavior and strong typing throughout. 

- [Oxyde ORM @ GitHub](https://github.com/mr-fatalyst/oxyde).]]>
            </summary>
            <updated>2026-03-17T12:37:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12098</id>
            <title type="text"><![CDATA[PyLingual]]></title>
            <link rel="alternate" href="https://pylingual.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12098"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Python decompiler for modern Python versions. 

PyLingual is a CPython bytecode decompiler supporting all released Python versions since 3.6.

- [PyLingual @ GitHub](https://github.com/syssec-utd/pylingual).]]>
            </summary>
            <updated>2026-03-12T11:17:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12053</id>
            <title type="text"><![CDATA[Argus]]></title>
            <link rel="alternate" href="https://github.com/jasonxtn/argus" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12053"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Ultimate Information Gathering Toolkit.
 A Python-based toolkit for Information Gathering &amp;amp; Reconnaissance.

Argus is an all-in-one, Python-powered toolkit designed to streamline the process of information gathering and reconnaissance. It brings together a clean, intuitive interface and a wide range of reliable modules, allowing analysts to efficiently assess networks, web applications, and security environments with consistency and precision.]]>
            </summary>
            <updated>2026-03-09T07:55:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12024</id>
            <title type="text"><![CDATA[chardet]]></title>
            <link rel="alternate" href="https://github.com/chardet/chardet" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12024"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Python character encoding detector.

Related contents:

- [ Relicensing with AI-assisted rewrite @ Tuan-Anh Tran](https://tuananh.net/2026/03/05/relicensing-with-ai-assisted-rewrite/).]]>
            </summary>
            <updated>2026-03-05T12:39:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11986</id>
            <title type="text"><![CDATA[httpbin]]></title>
            <link rel="alternate" href="https://httpbin.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11986"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A simple HTTP Request &amp;amp; Response Service.
 HTTP Request &amp;amp; Response Service, written in Python + Flask. 

- [httpbin @ GitHub](https://github.com/postmanlabs/httpbin).

Related contents:

- [Before You Migrate: Five Surprising Ingress-NGINX Behaviors You Need to Know @ kubernetes](https://kubernetes.io/blog/2026/02/27/ingress-nginx-before-you-migrate/).]]>
            </summary>
            <updated>2026-03-02T12:46:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11983</id>
            <title type="text"><![CDATA[OSXPhotos]]></title>
            <link rel="alternate" href="https://github.com/RhetTbull/osxphotos" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11983"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Python app to work with pictures and associated metadata from Apple Photos on macOS. Also includes a package to provide programmatic access to the Photos library, pictures, and metadata. 

OSXPhotos provides the ability to interact with and query Apple&amp;#039;s Photos.app library on macOS and Linux. You can query the Photos library database — for example, file name, file path, and metadata such as keywords/tags, persons/faces, albums, etc. You can also easily export both the original and edited photos. OSXPhotos also works with iPhoto libraries though some features are available only for Photos.

Related contents:

- [osxphotos - Sauvegardez automatiquement votre photothèque Apple @ Korben :fr:](https://korben.info/osxphotos-backup-photos-apple-automatique.html).]]>
            </summary>
            <updated>2026-03-02T10:18:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11945</id>
            <title type="text"><![CDATA[Scrapling]]></title>
            <link rel="alternate" href="https://scrapling.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11945"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! 

Its parser learns from website changes and automatically relocates your elements when pages update. Its fetchers bypass anti-bot systems like Cloudflare Turnstile out of the box. And its spider framework lets you scale up to concurrent, multi-session crawls with pause/resume and automatic proxy rotation — all in a few lines of Python. One library, zero compromises.

- [Scrapling @ GitHub](https://github.com/D4Vinci/Scrapling).

Related contents:

- [Scrapling - Le scraper Python qui se répare tout seul @ Korben :fr:](https://korben.info/scrapling-scraper-python-auto-repare.html).]]>
            </summary>
            <updated>2026-04-28T09:04:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11915</id>
            <title type="text"><![CDATA[Pygame]]></title>
            <link rel="alternate" href="https://www.pygame.org/news" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11915"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Pygame is a set of Python modules designed for writing games. It is written on top of the excellent SDL library. This allows you to create fully featured games and multimedia programs in the python language. Pygame is highly portable and runs on nearly every platform and operating system.

- [Pygame @ GitHub](https://github.com/pygame/pygame).

Related contents:

- [What I learned designing a (barebones) UI engine @ made by mohammed](https://madebymohammed.com/miniui).]]>
            </summary>
            <updated>2026-02-24T12:50:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11850</id>
            <title type="text"><![CDATA[Zvec]]></title>
            <link rel="alternate" href="https://zvec.org/en/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11850"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A lightweight, lightning-fast, in-process vector database
High-Performance semantic search, made simple.

Zvec is an open-source, in-process vector database — lightweight, lightning-fast, and designed to embed directly into applications. Built on Proxima (Alibaba&amp;#039;s battle-tested vector search engine), it delivers production-grade, low-latency, scalable similarity search with minimal setup.

- [Zvec @ GitHub](https://github.com/alibaba/zvec).

Related contents:

- [\#129 - News Mars 2026, Vite+, Void Cloud, du drama et de l&amp;#039;IA @ Double Slash :fr:](https://double-slash.dev/podcasts/news-mars26/).]]>
            </summary>
            <updated>2026-03-20T07:22:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11835</id>
            <title type="text"><![CDATA[Monty]]></title>
            <link rel="alternate" href="https://github.com/pydantic/monty" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11835"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A minimal, secure Python interpreter written in Rust for use by AI.

Monty avoids the cost, latency, complexity and general faff of using a full container based sandbox for running LLM generated code.

Instead, it lets you safely run Python code written by an LLM embedded in your agent, with startup times measured in single digit microseconds not hundreds of milliseconds.]]>
            </summary>
            <updated>2026-02-16T12:35:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11738</id>
            <title type="text"><![CDATA[miniray]]></title>
            <link rel="alternate" href="https://github.com/commaai/miniray" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11738"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Minimal library for distributed python work. Can efficiently run CPU and GPU tasks across 100s of machines. 

Miniray is a library for distributed compute across a datacenter. Miniray is designed to dispatch tasks of arbitrary python code through redis. Miniray uses python&amp;#039;s concurrent.futures API.

Related contents:

- [Owning a $5M data center @ Comma.ai blog](https://blog.comma.ai/datacenter/).]]>
            </summary>
            <updated>2026-02-06T14:07:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11736</id>
            <title type="text"><![CDATA[Dask]]></title>
            <link rel="alternate" href="https://www.dask.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11736"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Parallel Python, Fast and Easy. Scale the Python tools you love.

Easy Parallel Python that does what you need.
Dask is a flexible parallel computing library for analytics. 

- [Dask @ GitHub](https://github.com/dask/dask).

Related contents:

- [Owning a $5M data center @ Comma.ai blog](https://blog.comma.ai/datacenter/).]]>
            </summary>
            <updated>2026-02-06T14:03:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11691</id>
            <title type="text"><![CDATA[Shorlabs]]></title>
            <link rel="alternate" href="https://www.shorlabs.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11691"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Vercel for Backend. Deploy backends without the hassle.

A modern platform for deploying, managing, and scaling your Python and Node.js backends.

- [Shorlabs @ GitHub](https://github.com/aryankashyap0/shorlabs).]]>
            </summary>
            <updated>2026-02-03T13:01:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11627</id>
            <title type="text"><![CDATA[Oban Pro]]></title>
            <link rel="alternate" href="https://oban.pro/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11627"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Sophisticated job processing framework. Process Billions of Jobs Without Losing Sleep.

Thousands of Elixir and Python applications rely on Oban Pro for background jobs with advanced workflows, distributed concurrency, highly optimized performance, and a trove of enterprise grade features. 

- [Oban @ GitHub](https://github.com/oban-bg/oban).
- [Oban Python @ GitHub](https://github.com/oban-bg/oban-py).

Related contents:

- [Oban Comes to Python @ Oban Pro](https://oban.pro/articles/introducing-oban-python).]]>
            </summary>
            <updated>2026-01-27T07:01:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11622</id>
            <title type="text"><![CDATA[pypdf]]></title>
            <link rel="alternate" href="https://pypdf.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11622"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[pypdf is a free and open source pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files. It can also add custom data, viewing options, and passwords to PDF files. pypdf can retrieve text and metadata from PDFs as well.

- [pypdf @ GitHub](https://github.com/py-pdf/pypdf).

Related contents:

- [How to Work with PDF Files in Python: A PyPDF Guide @ freeCodeCamp](https://www.freecodecamp.org/news/how-to-work-with-pdf-files-in-python-a-pypdf-guide/).]]>
            </summary>
            <updated>2026-01-26T16:12:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11560</id>
            <title type="text"><![CDATA[Pocket TTS]]></title>
            <link rel="alternate" href="https://github.com/kyutai-labs/pocket-tts" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11560"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A TTS that fits in your CPU (and pocket).

A lightweight text-to-speech (TTS) application designed to run efficiently on CPUs. Forget about the hassle of using GPUs and web APIs serving TTS models. With Kyutai&amp;#039;s Pocket TTS, generating audio is just a pip install and a function call away.

Related contents:

- [Pocket TTS @ /kyutai](https://kyutai.org/blog/2026-01-13-pocket-tts).
- [Episode 650: This Old Network @ Linux Unplugged](https://linuxunplugged.com/650).]]>
            </summary>
            <updated>2026-01-22T07:14:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11557</id>
            <title type="text"><![CDATA[wxpath]]></title>
            <link rel="alternate" href="https://github.com/rodricios/wxpath" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11557"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[declarative web crawling with XPath.

wxpath is a declarative web crawler where traversal is expressed directly in XPath. Instead of writing imperative crawl loops, wxpath lets you describe what to follow and what to extract in a single expression. wxpath executes that expression concurrently, breadth-first-ish, and streams results as they are discovered.]]>
            </summary>
            <updated>2026-01-21T13:06:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11519</id>
            <title type="text"><![CDATA[pyinfra]]></title>
            <link rel="alternate" href="https://pyinfra.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11519"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fast Python Infrastructure Automation &amp;amp; Configuration Management Tool.

 🔧 pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands and write declarative operations. Target SSH servers, local machine and Docker containers. Fast and scales from one server to thousands. 

- [pyinfra @ GitHub](https://github.com/pyinfra-dev/pyinfra).

Related contents:

- [pyinfra - Du Python au lieu du YAML pour gérer vos serveurs @ Korben :fr:](https://korben.info/pyinfra-automatisation-infrastructure-python.html).]]>
            </summary>
            <updated>2026-03-09T10:10:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11444</id>
            <title type="text"><![CDATA[debugpy]]></title>
            <link rel="alternate" href="https://github.com/microsoft/debugpy" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11444"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[a debugger for Python.

An implementation of the Debug Adapter Protocol for Python.

Related contents:

- [The coolest feature in Python 3.14 @ Savannah Ostrowski](https://savannah.dev/posts/the-coolest-feature-in-314/).]]>
            </summary>
            <updated>2026-01-12T13:26:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11259</id>
            <title type="text"><![CDATA[metacode]]></title>
            <link rel="alternate" href="https://github.com/pomponchik/metacode" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11259"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A standard language for machine-readable code comments.

Many source code analysis tools use comments in a special format to mark it up. This is an important part of the Python ecosystem, but there is still no single standard around it. This library offers such a standard.]]>
            </summary>
            <updated>2025-12-16T13:00:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11240</id>
            <title type="text"><![CDATA[Mark V. Shaney Junior Gibberish Generator]]></title>
            <link rel="alternate" href="https://github.com/susam/mvs" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11240"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A minimum viable Markov gibberish generator in 32 lines of Python, inspired by the legendary Mark V. Shaney program of 1980s.

Related contents:

- [Fed 24 Years of My Blog Posts to a Markov Model @ Susam Pal](https://susam.net/fed-24-years-of-posts-to-markov-model.html).]]>
            </summary>
            <updated>2025-12-15T12:56:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11200</id>
            <title type="text"><![CDATA[django-upgrade]]></title>
            <link rel="alternate" href="https://django-upgrade.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11200"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[django-upgrade is a tool that automatically upgrades your Django project code. It changes code to avoid deprecation warnings and migrates some patterns to newer Django idioms. Use it to ease upgrading Django and ensure your code uses the latest features.

- [django-upgrade @ GitHub](https://github.com/adamchainz/django-upgrade).

Related contents:

- [Django: what’s new in 6.0 @ Adam Johnson](https://adamj.eu/tech/2025/12/03/django-whats-new-6.0/).]]>
            </summary>
            <updated>2025-12-10T13:04:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11187</id>
            <title type="text"><![CDATA[Steer]]></title>
            <link rel="alternate" href="https://github.com/imtt-dev/steer" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11187"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Active Reliability Layer for AI Agents. Catch failures, teach fixes, and automate reliability.

Steer is an open-source Python library that intercepts agent failures (hallucinations, bad JSON, PII leaks) and allows you to inject fixes via a local dashboard without changing your code.

Related contents:

- [The &amp;quot;Confident Idiot&amp;quot; Problem: Why AI Needs Hard Rules, Not Vibe Checks @ Steer labs&amp;#039; SubStack](https://steerlabs.substack.com/p/confident-idiot-problem).]]>
            </summary>
            <updated>2025-12-09T07:10:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11176</id>
            <title type="text"><![CDATA[Machine Learning for Beginners - A Curriculum]]></title>
            <link rel="alternate" href="https://github.com/microsoft/ML-For-Beginners" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11176"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all.

Cloud Advocates at Microsoft are pleased to offer a 12-week, 26-lesson curriculum all about Machine Learning. In this curriculum, you will learn about what is sometimes called classic machine learning, using primarily Scikit-learn as a library and avoiding deep learning, which is covered in our AI for Beginners&amp;#039; curriculum. Pair these lessons with our &amp;#039;Data Science for Beginners&amp;#039; curriculum, as well!

Related contents:

- [12 semaines de formation Machine Learning gratos sur GitHub (et en français svp !) @ Korben :fr:](https://korben.info/microsoft-ml-for-beginners-formation-machine-learn.html).]]>
            </summary>
            <updated>2025-12-08T12:43:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11166</id>
            <title type="text"><![CDATA[Stacktower]]></title>
            <link rel="alternate" href="https://stacktower.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11166"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[What happens when you take an XKCD joke too literally.

 CLI tool that renders package dependencies as physical tower structures. Supports PyPI, npm, and crates.io with optimal crossing minimization. 

- [Stacktower @ GitHub](https://github.com/matzehuels/stacktower).]]>
            </summary>
            <updated>2025-12-05T12:55:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11153</id>
            <title type="text"><![CDATA[Rad]]></title>
            <link rel="alternate" href="https://amterp.github.io/rad/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11153"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Modern CLI scripts made easy. 

Bash is powerful but painful. Rad gives you Python-like scripting with CLI superpowers built-in.

Write maintainable scripts with declarative argument parsing, built-in JSON processing, HTTP requests, and interactive user prompts - all in a familiar, readable syntax.

Rad is a modern programming language and interpreter designed to make writing CLI scripts delightful. It has a familiar, Python-like syntax with built-in concepts like declarative arguments, JSON handling, first-class shell integration, and user prompts - making common scripting tasks easy and fast to implement.

- [🤙 Rad @ GitHub](https://github.com/amterp/rad).]]>
            </summary>
            <updated>2025-12-02T12:47:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11142</id>
            <title type="text"><![CDATA[ty]]></title>
            <link rel="alternate" href="https://docs.astral.sh/ty/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11142"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An extremely fast Python type checker, written in Rust.

- [ty @ GitHub](https://github.com/astral-sh/ty).

Related contents:

- [ty: An extremely fast Python type checker and LSP @ Astral](https://astral.sh/blog/ty).]]>
            </summary>
            <updated>2025-12-17T12:56:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11133</id>
            <title type="text"><![CDATA[Gradio]]></title>
            <link rel="alternate" href="https://www.gradio.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11133"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build machine learning apps in Python.

Create web interfaces for your ML models in minutes. Deploy anywhere, share with anyone.

Gradio is an open-source Python package that allows you to quickly build a demo or web application for your machine learning model, API, or any arbitrary Python function. You can then share a link to your demo or web application in just a few seconds using Gradio&amp;#039;s built-in sharing features. No JavaScript, CSS, or web hosting experience needed!

- [Gradio @ GitHub](https://github.com/gradio-app/gradio).

Related contents:

- [Gradio 6 débarque pour créer des interfaces encore plus fluides @ Korben :fr:](https://korben.info/gradio-6-python-machine-learning-interface-svelte.html).]]>
            </summary>
            <updated>2025-12-01T09:19:55+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11076</id>
            <title type="text"><![CDATA[🛠️ kit]]></title>
            <link rel="alternate" href="https://kit.cased.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11076"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The toolkit for AI devtools context engineering. Build with codebase mapping, symbol extraction, and many kinds of code search. 

kit is a production-ready toolkit for codebase mapping, symbol extraction, code search, and building LLM-powered developer tools, agents, and workflows.

kit shines for getting precise, accurate, and relevant context to LLMs. Use kit to build code reviewers, code generators and graphs, even full-fledged coding assistants: all enriched with the right code context.

- [kit 🛠️ Code Intelligence Toolkit @ GitHub](https://github.com/cased/kit?utm_source=tldrnewsletter)]]>
            </summary>
            <updated>2025-11-24T12:16:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10889</id>
            <title type="text"><![CDATA[Deepnote]]></title>
            <link rel="alternate" href="https://deepnote.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10889"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Analytics and data science notebook for teams. Jupyter notebook  for the AI era.

- Link Snowflake, BigQuery, CSVs, and 60+ data sources
- Write in Python, SQL, R — or just prompt Deepnote Agent
- Build powerful data apps and dashboards with AI

- [Deepnote @ GitHub](https://github.com/deepnote/deepnote).]]>
            </summary>
            <updated>2025-11-05T13:06:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10870</id>
            <title type="text"><![CDATA[Coverage.py]]></title>
            <link rel="alternate" href="https://coverage.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10870"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Coverage.py is a tool for measuring code coverage of Python programs. It monitors your program, noting which parts of the code have been executed, then analyzes the source to identify code that could have been executed but was not.

- [](https://github.com/nedbat/coveragepy).

Related contents:

- [Side project advice @ Ned Batchelder](https://nedbatchelder.com/blog/202510/side_project_advice.html).]]>
            </summary>
            <updated>2025-11-04T07:02:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10868</id>
            <title type="text"><![CDATA[Automerge]]></title>
            <link rel="alternate" href="https://automerge.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10868"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Version control for your data.
Automerge is a local-first sync engine for multiplayer apps that works offline, prevents conflicts, and runs fast.

- [Automerge @ GitHub](https://github.com/automerge).

Related contents:

- [Issue \#168: 💪 The overlooked power of URLs @ Changelog News](https://changelog.com/news/168).]]>
            </summary>
            <updated>2025-11-04T06:49:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10846</id>
            <title type="text"><![CDATA[Bruin]]></title>
            <link rel="alternate" href="https://getbruin.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10846"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your last data platform.
Reliable data. 10x faster, 90% less complexity.

 Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows. 

Bruin is a data pipeline tool that brings together data ingestion, data transformation with SQL &amp;amp; Python, and data quality into a single framework. It works with all the major data platforms and runs on your local machine, an EC2 instance, or GitHub Actions.

- [Bruin @ GitHub](https://github.com/bruin-data/bruin).

Related contents:

- [Digest #186: Inside the AWS Outage, Docker Compose in Production, F1 Hacks and 86,000 npm Packages Attacks @ DevOps Bulletin](https://www.devopsbulletin.com/p/digest-186-inside-the-aws-outage).]]>
            </summary>
            <updated>2025-11-03T10:19:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10803</id>
            <title type="text"><![CDATA[JSON Query]]></title>
            <link rel="alternate" href="https://jsonquerylang.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10803"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[a small, flexible, and expandable JSON query language.

- [JSON Query @ GitHub](https://github.com/jsonquerylang/jsonquery).]]>
            </summary>
            <updated>2025-10-28T11:10:55+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10771</id>
            <title type="text"><![CDATA[JAX]]></title>
            <link rel="alternate" href="https://docs.jax.dev/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10771"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[High performance array computing.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.
JAX provides a familiar NumPy-style API for ease of adoption by researchers and engineers.

- [JAX @ GitHub](https://github.com/jax-ml/jax).

Related contents:

- [How the jax.jit() JIT compiler works in jax-js @ eric makes software](https://ekzhang.substack.com/p/how-the-jaxjit-jit-compiler-works).
- [192 Weeks @ Eric Zhang](https://notes.ekzhang.com/reflections/192-weeks).]]>
            </summary>
            <updated>2025-10-27T13:18:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10758</id>
            <title type="text"><![CDATA[Katakate (K7)]]></title>
            <link rel="alternate" href="https://katakate.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10758"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Create and manage micro VMs at scale for safe execution of untrusted code.
Secure sandboxed compute for AI agents and workloads

 K7 Demo

Katakate aims to make it easy to create, manage and orchestrate lightweight safe VM sandboxes for executing untrusted code, at scale. It is built on battle-tested VM isolation with Kata, Firecracker and Kubernetes. It is orignally motivated by AI agents that need to run arbitrary code at scale.

- [Katakate @ GitHub](https://github.com/Katakate/k7).
- [Katakate documentation](https://docs.katakate.org/).]]>
            </summary>
            <updated>2025-10-22T11:39:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10748</id>
            <title type="text"><![CDATA[Spire.Doc for Python]]></title>
            <link rel="alternate" href="https://www.e-iceblue.com/Introduce/doc-for-python.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10748"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Spire.Doc for Python is a professional Word Python API specifically designed for developers to create, read, write, convert and compare Word documents with fast and high-quality performance.

Related contents:

- [Automating Word Document Creation with Python: A Practical Guide @ Allen Yang&amp;#039;s dev.to](https://dev.to/allen_yang_f905170c5a197b/automating-word-document-creation-with-python-a-practical-guide-21lf).]]>
            </summary>
            <updated>2025-10-21T06:25:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10705</id>
            <title type="text"><![CDATA[Hyperflask]]></title>
            <link rel="alternate" href="https://hyperflask.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10705"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Python stack to build web apps at light speed.

From dev environment to UI framework to deployment, Hyperflask integrates everything seamlessly to let you focus on what you are building. 

- [Hyperflask @ GitHub](https://github.com/hyperflask/hyperflask).]]>
            </summary>
            <updated>2025-10-17T12:47:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10667</id>
            <title type="text"><![CDATA[RustPython]]></title>
            <link rel="alternate" href="https://rustpython.github.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10667"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[RustPython is a Python interpreter written in Rust. RustPython can be embedded into Rust programs to use Python as a scripting language for your application, or it can be compiled to WebAssembly in order to run Python in the browser. RustPython is free and open-source under the MIT license.

- [RustPython @ GitHub](https://github.com/RustPython/RustPython/).]]>
            </summary>
            <updated>2025-10-15T12:02:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10647</id>
            <title type="text"><![CDATA[CycloneDX]]></title>
            <link rel="alternate" href="https://cyclonedx.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10647"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[CycloneDX Bill of Materials Standard.

CycloneDX is a modern standard for the software supply chain.

The International Standard for Bill of Materials (ECMA-424)
The OWASP Foundation and Ecma International Technical Committee for Software &amp;amp; System Transparency (TC54) drive the continued advancement of the specification.

- [CycloneDX BOM Standard @ GitHub](https://github.com/CycloneDX).

Related contents:

- [CycloneDX PHP Composer Plugin @ GitHub](https://github.com/CycloneDX/cyclonedx-php-composer).]]>
            </summary>
            <updated>2025-10-14T09:44:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10640</id>
            <title type="text"><![CDATA[Nikola]]></title>
            <link rel="alternate" href="https://getnikola.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10640"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Static Site Generator.

- [Nikola @ GitHub](https://github.com/getnikola/nikola).]]>
            </summary>
            <updated>2025-10-14T05:36:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10639</id>
            <title type="text"><![CDATA[PyPy]]></title>
            <link rel="alternate" href="https://pypy.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10639"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A fast, compliant alternative implementation of Python.

PyPy is a replacement for CPython. It is built using the RPython language that was co-developed with it. The main reason to use it instead of CPython is speed: it runs generally faster (see next section).

- [PyPy @ Read the Docs](https://doc.pypy.org/en/latest/index.html).
- [PyPy @ GitHub](https://github.com/pypy/pypy).]]>
            </summary>
            <updated>2025-10-14T05:34:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10577</id>
            <title type="text"><![CDATA[pdoc]]></title>
            <link rel="alternate" href="https://pdoc.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10577"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[API Documentation for Python Projects.



pdoc auto-generates API documentation that follows your project&amp;#039;s Python module hierarchy. It requires no configuration, has first-class support for type annotations, cross-links between identifiers, comes with an integrated live-reloading web server, and understands numpydoc or Google-style docstrings.

- [pdoc @ GitHub](https://github.com/mitmproxy/pdoc).

Related contents:

- [pdoc - La documentation Python sans documentation @ Korben :fr:](https://korben.info/pdoc-faire-documentation-python-facile.html).]]>
            </summary>
            <updated>2025-10-15T09:42:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10559</id>
            <title type="text"><![CDATA[pyx]]></title>
            <link rel="alternate" href="https://astral.sh/pyx" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10559"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The next step in Python packaging.

A Python-native package registry from the creators of uv.

Related contents:

- [Episode \#660: Reinventing Python tooling with Rust @ Changelog Interviews](https://changelog.com/podcast/660).]]>
            </summary>
            <updated>2025-10-07T05:32:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10558</id>
            <title type="text"><![CDATA[pyscn]]></title>
            <link rel="alternate" href="https://github.com/ludo-technologies/pyscn" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10558"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An Intelligent Python Code Quality Analyzer.

Building with Cursor, Claude, or ChatGPT? pyscn performs structural analysis to keep your codebase maintainable.]]>
            </summary>
            <updated>2025-10-06T12:03:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10554</id>
            <title type="text"><![CDATA[run]]></title>
            <link rel="alternate" href="https://run.esubalew.et/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10554"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[One command. 25 languages.  Universal multi-language runner and smart REPL written in Rust. 

A universal code runner and stateful REPL written in Rust. Execute Python, JavaScript, TypeScript, Go, Rust, C, C++, Java, Kotlin, Swift, and 15 more languages with a single command.

- [run @ GitHub](https://github.com/Esubaalew/run).]]>
            </summary>
            <updated>2025-10-06T11:51:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10519</id>
            <title type="text"><![CDATA[PyOCI]]></title>
            <link rel="alternate" href="https://github.com/AllexVeldman/pyoci" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10519"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Publish and install private python packages using OCI/docker registries.]]>
            </summary>
            <updated>2025-10-06T05:15:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10464</id>
            <title type="text"><![CDATA[SQLGlot]]></title>
            <link rel="alternate" href="https://sqlglot.com/sqlglot.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10464"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Python SQL Parser and Transpiler.

SQLGlot is a no-dependency SQL parser, transpiler, optimizer, and engine. It can be used to format SQL or translate between 31 different dialects like DuckDB, Presto / Trino, Spark / Databricks, Snowflake, and BigQuery. It aims to read a wide variety of SQL inputs and output syntactically and semantically correct SQL in the targeted dialects.

- [SQLGlot @ GitHub](https://github.com/tobymao/sqlglot).]]>
            </summary>
            <updated>2025-09-30T06:38:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10398</id>
            <title type="text"><![CDATA[pepy.tech]]></title>
            <link rel="alternate" href="https://pepy.tech/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10398"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PyPI Package Statistics &amp;amp; Analytics

Track downloads, analyze trends, and gain insights into the Python ecosystem]]>
            </summary>
            <updated>2025-09-26T05:57:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10337</id>
            <title type="text"><![CDATA[Prophet]]></title>
            <link rel="alternate" href="https://facebook.github.io/prophet/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10337"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Forecasting at scale.

 Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. 

Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.

- [Prophet: Automatic Forecasting Procedure @ GitHub](https://github.com/facebook/prophet).

Related contents:

- [Predictive Autoscaling in Kubernetes with Keda and Prophet @ Minimal Devops&amp;#039; Medium](https://minimaldevops.com/predictive-autoscaling-in-kubernetes-with-keda-and-prophet-cbccd96cf881).]]>
            </summary>
            <updated>2025-09-22T07:10:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10260</id>
            <title type="text"><![CDATA[GEPA]]></title>
            <link rel="alternate" href="https://github.com/gepa-ai/gepa" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10260"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[System Optimization through Reflective Text Evolution.
Optimize prompts, code, and more with AI-powered Reflective Text Evolution.

GEPA (Genetic-Pareto) is a framework for optimizing arbitrary systems composed of text components—like AI prompts, code snippets, or textual specs—against any evaluation metric. It employs LLMs to reflect on system behavior, using feedback from execution and evaluation traces to drive targeted improvements. Through iterative mutation, reflection, and Pareto-aware candidate selection, GEPA evolves robust, high-performing variants with minimal evaluations, co-evolving multiple components in modular systems for domain-specific gains.

Related contents:

- [Building and Optimizing Multi-Agent RAG Systems with DSPy and GEPA @ Isaac Kargar&amp;#039;s Medium](https://kargarisaac.medium.com/building-and-optimizing-multi-agent-rag-systems-with-dspy-and-gepa-2b88b5838ce2).]]>
            </summary>
            <updated>2025-09-18T05:59:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10259</id>
            <title type="text"><![CDATA[DSPy (Declarative Self-improving Python)]]></title>
            <link rel="alternate" href="https://dspy.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10259"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The framework for programming—not prompting—language models 

DSPy is a declarative framework for building modular AI software. It allows you to iterate fast on structured code, rather than brittle strings, and offers algorithms that compile AI programs into effective prompts and weights for your language models, whether you&amp;#039;re building simple classifiers, sophisticated RAG pipelines, or Agent loops.

- [DSPy @ GitHub](https://github.com/stanfordnlp/dspy).

Related contents:

- [Building and Optimizing Multi-Agent RAG Systems with DSPy and GEPA @ Isaac Kargar&amp;#039;s Medium](https://kargarisaac.medium.com/building-and-optimizing-multi-agent-rag-systems-with-dspy-and-gepa-2b88b5838ce2).]]>
            </summary>
            <updated>2025-09-18T05:57:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10253</id>
            <title type="text"><![CDATA[AutoGen]]></title>
            <link rel="alternate" href="https://microsoft.github.io/autogen/stable/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10253"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A framework for building AI agents and applications.

AutoGen is a framework for creating multi-agent AI applications that can act autonomously or work alongside humans.

- [AutoGen @ GitHub](https://github.com/microsoft/autogen).

Related contents:

- [Don’t Build Multi-Agents @ Cognition](https://cognition.ai/blog/dont-build-multi-agents#principles-of-context-engineering).]]>
            </summary>
            <updated>2025-09-17T14:32:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10248</id>
            <title type="text"><![CDATA[Genkit]]></title>
            <link rel="alternate" href="https://genkit.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10248"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open-source framework for building AI-powered apps, built and used in production by Google

Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google 

It offers a unified interface for integrating AI models from providers like Google, OpenAI, Anthropic, Ollama, and more. Rapidly build and deploy production-ready chatbots, automations, and recommendation systems using streamlined APIs for multimodal content, structured outputs, tool calling, and agentic workflows.

- [Genkit @ GitHub](https://github.com/firebase/genkit).

Related contents:

- [Announcing Genkit Go 1.0 and Enhanced AI-Assisted Development @ Google for Developers](https://developers.googleblog.com/en/announcing-genkit-go-10-and-enhanced-ai-assisted-development/).]]>
            </summary>
            <updated>2025-09-17T11:38:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10238</id>
            <title type="text"><![CDATA[Semlib]]></title>
            <link rel="alternate" href="https://semlib.anish.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10238"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Semantic Data Processing.
Build data processing and data analysis pipelines that leverage the power of LLMs 🧠 

Semlib is a Python library for building data processing and data analysis pipelines that leverage the power of large language models (LLMs). Semlib provides, as building blocks, familiar functional programming primitives like map, reduce, sort, and filter, but with a twist: Semlib&amp;#039;s implementation of these operations are programmed with natural language descriptions rather than code. Under the hood, Semlib handles complexities such as prompting, parsing, concurrency control, caching, and cost tracking.

- [Semlib @ GitHub](https://github.com/anishathalye/semlib).]]>
            </summary>
            <updated>2025-09-16T12:17:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10237</id>
            <title type="text"><![CDATA[StringZilla]]></title>
            <link rel="alternate" href="https://github.com/ashvardanian/StringZilla" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10237"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, &amp;amp; Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, &amp;amp; SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖 

Related contents:

- [StringWa.rs on GPUs: Databases &amp;amp; Bioinformatics 🦠 @ Ash&amp;#039;s Blog](https://ashvardanian.com/posts/stringwars-on-gpus/).]]>
            </summary>
            <updated>2025-09-16T12:11:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10206</id>
            <title type="text"><![CDATA[GeoAI]]></title>
            <link rel="alternate" href="https://opengeoai.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10206"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A powerful Python package for integrating artificial intelligence with geospatial data analysis and visualization.

- [GeoAI @ GitHub](https://github.com/opengeos/geoai).

Related contents:

- [GeoAI Workshop: Unlocking the Power of GeoAI with Python @ Open Geospatial Solutions&amp;#039; YouTube](https://www.youtube.com/watch?v=jdK-cleFUkc).]]>
            </summary>
            <updated>2025-09-15T13:16:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10095</id>
            <title type="text"><![CDATA[pandas]]></title>
            <link rel="alternate" href="https://pandas.pydata.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10095"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Python Data Analysis Library.

pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool.
 Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more 

- [pandas @ GitHub](https://github.com/pandas-dev/pandas).

Related contents:

- [Leveraging Pandas and SQL Together for Efficient Data Analysis @ KD nuggets](https://www.kdnuggets.com/leveraging-pandas-and-sql-together-for-efficient-data-analysis).
- [I Cleaned a Messy CSV File Using Pandas .  Here’s the Exact Process I Follow Every Time. @ towards data science](https://towardsdatascience.com/i-cleaned-a-messy-csv-file-using-pandas-heres-the-exact-process-i-follow-every-time/).]]>
            </summary>
            <updated>2025-12-12T13:33:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10094</id>
            <title type="text"><![CDATA[PyTorch]]></title>
            <link rel="alternate" href="https://pytorch.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10094"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Tensors and Dynamic neural networks in Python with strong GPU acceleration.

PyTorch is a Python package that provides two high-level features:

- Tensor computation (like NumPy) with strong GPU acceleration
- Deep neural networks built on a tape-based autograd system

You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.

- [PyTorch @ GitHub](https://github.com/pytorch/pytorch).

Related contents:

- [Intro to PyTorch. Easy to follow, visual introduction. @ 0byte.io](https://0byte.io/articles/pytorch_introduction.html).
- [Faire tourner un LLM localement sur votre ordinateur @ Quoi de neuf les devs ? :fr:](https://happytodev.substack.com/p/brent-roose-est-linvite-du-n147-de?open=false#%C2%A7faire-tourner-un-llm-localement-sur-votre-ordinateur).
- [the bug that taught me more about PyTorch than years of using it  @ matmols](https://elanapearl.github.io/blog/2025/the-bug-that-taught-me-pytorch/).]]>
            </summary>
            <updated>2026-02-17T12:45:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10090</id>
            <title type="text"><![CDATA[LiteLLM]]></title>
            <link rel="alternate" href="https://docs.litellm.ai/docs/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10090"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Call all LLM APIs using the OpenAI format [Bedrock, Huggingface, VertexAI, TogetherAI, Azure, OpenAI, Groq etc.] 

Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq] 

- [LiteLLM @ GitHub](https://github.com/BerriAI/litellm).

Related contents:

- [Guide LiteLLM : Interface unifiée pour 100+ modèles IA @ DevSecOps :fr:](https://blog.stephane-robert.info/docs/developper/programmation/python/litellm/).
- [Prise en main de LiteLLM Proxy Server @ DevSecOps :fr:](https://blog.stephane-robert.info/docs/developper/programmation/python/litellm-proxy-server/).
- [Monitor your LiteLLM AI proxy with Datadog @ Datadog](https://www.datadoghq.com/blog/monitor-litellm-with-datadog/).]]>
            </summary>
            <updated>2025-09-17T11:30:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10066</id>
            <title type="text"><![CDATA[Semgrep App Security Platform]]></title>
            <link rel="alternate" href="https://semgrep.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10066"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-assisted SAST, SCA and Secrets Detection.
Lightweight static analysis for many languages. Find bug variants with patterns that look like source code. 

Semgrep is a fast, open-source, static analysis tool that searches code, finds bugs, and enforces secure guardrails and coding standards. Semgrep supports 30+ languages and can run in an IDE, as a pre-commit check, and as part of CI/CD workflows.

- [Sempgrep @ GitHub](https://github.com/semgrep/semgrep).

Related contents:

- [Keeping Secrets Out of Logs @ allan.reyes.sh](https://allan.reyes.sh/posts/keeping-secrets-out-of-logs/).
- [Blueprinting Security in CI/CD: Building Trust Through Open Source @ CD Foundation](https://cd.foundation/blog/2026/02/06/blueprinting-security/).]]>
            </summary>
            <updated>2026-02-18T13:12:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10058</id>
            <title type="text"><![CDATA[Stelvio]]></title>
            <link rel="alternate" href="https://stelvio.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10058"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[infrastructure made simple with Python.WS for Python devs - made simple.

Build AWS apps in high-level Python with smart defaults.
Keep full control when you need it.
No YAML, JSON or HSL. No clicking through consoles. No configuration hell. 

Stelvio is a Python framework that simplifies AWS cloud infrastructure management and deployment. It lets you define your cloud infrastructure using pure Python, with smart defaults that handle complex configuration automatically.

- [Stelvio @ GitHub](https://github.com/stelviodev/stelvio).]]>
            </summary>
            <updated>2025-09-08T13:26:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10046</id>
            <title type="text"><![CDATA[LEANN]]></title>
            <link rel="alternate" href="https://github.com/yichuan-w/LEANN" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10046"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device. 

LEANN is an innovative vector database that democratizes personal AI. Transform your laptop into a powerful RAG system that can index and search through millions of documents while using 97% less storage than traditional solutions without accuracy loss.

Related contents:

- [LEANN - L&amp;#039;IA personnelle qui écrase 97% de ses concurrents (en taille) @ Korben :fr:](https://korben.info/leann-rag.html).]]>
            </summary>
            <updated>2025-09-08T10:28:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10038</id>
            <title type="text"><![CDATA[BruteForceAI]]></title>
            <link rel="alternate" href="https://github.com/MorDavid/BruteForceAI" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10038"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Advanced LLM-powered brute-force tool combining AI intelligence with automated login attacks.

Related contents:

- [BruteForceAI - L&amp;#039;IA qui cracke vos mots de passe @ Korben :fr:](https://korben.info/bruteforceai.html).
- [BruteForceAI: Free AI-powered login brute force tool @ Help Net Security](https://www.helpnetsecurity.com/2025/09/03/bruteforceai-free-ai-powered-login-brute-force-tool/).]]>
            </summary>
            <updated>2025-09-08T10:03:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10037</id>
            <title type="text"><![CDATA[PassGAN]]></title>
            <link rel="alternate" href="https://github.com/brannondorsey/PassGAN" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10037"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Deep Learning Approach for Password Guessing.

Related contents:

- [BruteForceAI - L&amp;#039;IA qui cracke vos mots de passe @ Korben :fr:](https://korben.info/bruteforceai.html).
- [BruteForceAI: Free AI-powered login brute force tool @ Help Net Security](https://www.helpnetsecurity.com/2025/09/03/bruteforceai-free-ai-powered-login-brute-force-tool/).]]>
            </summary>
            <updated>2025-09-08T10:01:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10002</id>
            <title type="text"><![CDATA[🤗 Hub client library]]></title>
            <link rel="alternate" href="https://huggingface.co/docs/huggingface_hub/index" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10002"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The huggingface_hub library allows you to interact with the Hugging Face Hub, a machine learning platform for creators and collaborators. Discover pre-trained models and datasets for your projects or play with the hundreds of machine learning apps hosted on the Hub. You can also create and share your own models and datasets with the community. The huggingface_hub library provides a simple way to do all these things with Python.

- [🤗 Python client for the Huggingface Hub @ GitHub](https://github.com/huggingface/huggingface_hub).
- [Hugging Face JS libraries @ GitHub](https://github.com/huggingface/huggingface.js).

Related contents:

- [Tiny Agents in Python: an MCP-powered agent in ~70 lines of code @ Hugging Face](https://huggingface.co/blog/python-tiny-agents).
- [Tiny Agents: an MCP-powered agent in 50 lines of code @ Hugging Face](https://huggingface.co/blog/tiny-agents).]]>
            </summary>
            <updated>2025-09-04T11:53:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10001</id>
            <title type="text"><![CDATA[tiny-agents]]></title>
            <link rel="alternate" href="https://huggingface.co/datasets/tiny-agents/tiny-agents" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10001"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[In this short article, I will walk you through how I implemented it in Typescript (JS), how you can adopt MCP too and how it&amp;#039;s going to make Agentic AI way simpler going forward.

Related contents:

- [Tiny Agents in Python: an MCP-powered agent in ~70 lines of code @ Hugging Face](https://huggingface.co/blog/python-tiny-agents).
- [Tiny Agents: an MCP-powered agent in 50 lines of code @ Hugging Face](https://huggingface.co/blog/tiny-agents).]]>
            </summary>
            <updated>2025-09-04T11:51:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/23</id>
            <title type="text"><![CDATA[🚀 Model Context Protocol (MCP) Curriculum for Beginners]]></title>
            <link rel="alternate" href="https://github.com/microsoft/mcp-for-beginners" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/23"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.]]>
            </summary>
            <updated>2026-04-14T08:52:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/44</id>
            <title type="text"><![CDATA[spaCy]]></title>
            <link rel="alternate" href="https://spacy.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/44"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[💫 Industrial-strength Natural Language Processing (NLP) in Python.

spaCy is a library for advanced Natural Language Processing in Python and Cython. It&amp;#039;s built on the very latest research, and was designed from day one to be used in real products.

spaCy comes with pretrained pipelines and currently supports tokenization and training for 70+ languages. It features state-of-the-art speed and neural network models for tagging, parsing, named entity recognition, text classification and more, multi-task learning with pretrained transformers like BERT, as well as a production-ready training system and easy model packaging, deployment and workflow management. spaCy is commercial open-source software, released under the MIT license.

- [spaCy @ GitHub](https://github.com/explosion/spaCy).

Related contents:

- [Embedding Millions of Text Documents With Qwen3 @ daft](https://www.daft.ai/blog/embedding-millions-of-text-documents-with-qwen3).
- [Learn How to Use Transformers with HuggingFace and SpaCy @ towards data science](https://towardsdatascience.com/mastering-nlp-with-spacy-part-4/).]]>
            </summary>
            <updated>2025-09-18T05:52:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/59</id>
            <title type="text"><![CDATA[🤖 Botasaurus Framework 🤖]]></title>
            <link rel="alternate" href="https://www.omkar.cloud/botasaurus/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/59"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Botasaurus is a Swiss Army knife 🔪 for web scraping and browser automation 🤖 that helps you create bots fast. ⚡️

Botasaurus is an all-in-one web scraping framework that enables you to build awesome scrapers in less time, with less code, and with more fun.

- [🤖 Botasaurus 🤖 @ GitHub](https://github.com/omkarcloud/botasaurus).

Related contents:

- [Botasaurus - Le scraper qui rend Cloudflare aussi facile à contourner qu&amp;#039;un CAPTCHA de 2005 @ Korben :fr:](https://korben.info/botasaurus-framework-python-rend-cloudflare-aussi.html).]]>
            </summary>
            <updated>2025-09-04T08:40:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/103</id>
            <title type="text"><![CDATA[aicodeprep-gui]]></title>
            <link rel="alternate" href="https://wuu73.org/aicp/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/103"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The fast context maker. Surgical context engineering with a nice UI, Windows, Mac, Linux, BSD, anywhere where python &amp;amp; Qt run.

Take control of your AI&amp;#039;s context to get radically better bug-fixing and planning assistance. When you don&amp;#039;t tell the AIs about MCP servers and tools, you&amp;#039;ll be suprised at what they are capable of. 

- [aicodeprep-gui @ GitHub](https://github.com/detroittommy879/aicodeprep-gui).]]>
            </summary>
            <updated>2025-09-18T11:23:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/107</id>
            <title type="text"><![CDATA[Omnara]]></title>
            <link rel="alternate" href="https://omnara.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/107"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your AI workforce launchpad, in your pocket. Talk to Your AI Agents from Anywhere!

Omnara transforms your AI agents (Claude Code, Cursor, GitHub Copilot, and more) from silent workers into communicative teammates. Get real-time visibility into what your agents are doing, respond to their questions instantly, and guide them to success - all from your phone.

- [Omnara @ GitHub](https://github.com/omnara-ai/omnara).]]>
            </summary>
            <updated>2025-10-14T09:44:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/136</id>
            <title type="text"><![CDATA[Kitten TTS 😻]]></title>
            <link rel="alternate" href="https://github.com/KittenML/KittenTTS" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/136"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[State-of-the-art TTS model under 25MB 😻 

Kitten TTS is an open-source realistic text-to-speech model with just 15 million parameters, designed for lightweight deployment and high-quality voice synthesis.

Related contents:

- [Kitten TTS: The 25MB AI Voice Model That&amp;#039;s About to Change EVERYTHING (Runs on a Potato! 🥔) @ algogist](https://algogist.com/kitten-tts-the-25mb-ai-voice-model-thats-about-to-change-everything-runs-on-a-potato/).
- [Kitten TTS - Le modèle de synthèse vocale de 25MB qui fait parler votre grille-pain @ Korben :fr:](https://korben.info/kitten-tts-synthese-vocale-25mb-raspberry-pi.html).]]>
            </summary>
            <updated>2026-03-20T14:47:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/138</id>
            <title type="text"><![CDATA[OdooMap]]></title>
            <link rel="alternate" href="https://github.com/MohamedKarrab/odoomap" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/138"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A penetration testing tool for odoo applications. 

OdooMap is a reconnaissance, enumeration, and security testing tool for Odoo applications.

Related contents:

- [OdooMap - L&amp;#039;outil de pentest qui fait trembler les installations Odoo mal sécurisées @ Korben :fr:](https://korben.info/odoomap-outil-pentest-fait-trembler-installations.html).]]>
            </summary>
            <updated>2025-10-16T12:06:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/148</id>
            <title type="text"><![CDATA[pyatv]]></title>
            <link rel="alternate" href="https://pyatv.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/148"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[a client library for Apple TV and AirPlay devices.

This is an asyncio python library for interacting with Apple TV and AirPlay devices. It mainly targets Apple TVs (all generations), but also support audio streaming via AirPlay to receivers like the HomePod, AirPort Express and third-party speakers. It can act as remote control to the Music app/iTunes in macOS.

- [pyatv @ GitHub](https://github.com/postlund/pyatv).

Related contents:

- [Episode 606: Nix&amp;#039;s Magic Cookbook @ Linux Unplugged](https://linuxunplugged.com/606).]]>
            </summary>
            <updated>2025-10-17T05:39:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/197</id>
            <title type="text"><![CDATA[🧠🤖Deep Agents]]></title>
            <link rel="alternate" href="https://github.com/hwchase17/deepagents?ref=blog.langchain.com" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/197"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Using an LLM to call tools in a loop is the simplest form of an agent. This architecture, however, can yield agents that are “shallow” and fail to plan and act over longer, more complex tasks. Applications like “Deep Research”, &amp;quot;Manus&amp;quot;, and “Claude Code” have gotten around this limitation by implementing a combination of four things: a planning tool, sub agents, access to a file system, and a detailed prompt.

deepagents is a Python package that implements these in a general purpose way so that you can easily create a Deep Agent for your application.]]>
            </summary>
            <updated>2025-10-16T09:08:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/198</id>
            <title type="text"><![CDATA[LangExtract]]></title>
            <link rel="alternate" href="https://github.com/google/langextract" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/198"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization. 

LangExtract is a Python library that uses LLMs to extract structured information from unstructured text documents based on user-defined instructions. It processes materials such as clinical notes or reports, identifying and organizing key details while ensuring the extracted data corresponds to the source text.

Related contents:

- [LangExtract - La nouvelle pépite de Google pour extraire des données structurées avec l&amp;#039;IA @ Korben :fr:](https://korben.info/langextract-la-nouvelle-pepite-de-google-pour-extraire-des-donnees-structurees-avec-lia.html).]]>
            </summary>
            <updated>2026-03-14T15:09:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/212</id>
            <title type="text"><![CDATA[Observable Framework]]></title>
            <link rel="alternate" href="https://observablehq.com/framework/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/212"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The best dashboards are built with code.
Create fast, beautiful data apps, dashboards, and reports from the command line. Write Markdown, JavaScript, SQL, Python, R… and any language you like. Free and open-source.

A static site generator for data apps, dashboards, reports, and more. Observable Framework combines JavaScript on the front-end for interactive graphics with any language on the back-end for data analysis. 

- [Observable Framework @ GitHub](https://github.com/observablehq/framework).]]>
            </summary>
            <updated>2025-10-21T14:50:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/226</id>
            <title type="text"><![CDATA[🦌 DeerFlow]]></title>
            <link rel="alternate" href="https://deerflow.tech/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/226"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Deep Research at Your Fingertipsat Your Fingertips

Meet DeerFlow, your personal Deep Research assistant. With powerful tools like search engines, web crawlers, Python and MCP services, it delivers instant insights, comprehensive reports, and even captivating podcasts.

 DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community. 

- [🦌 DeerFlow @ GitHub](https://github.com/bytedance/deer-flow).]]>
            </summary>
            <updated>2025-10-27T15:09:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/231</id>
            <title type="text"><![CDATA[Opsqueue]]></title>
            <link rel="alternate" href="https://github.com/channable/opsqueue" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/231"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A lightweight batch processing queue for the heaviest loads.

Related contents:

- [Opsqueue: a lightweight batch processing queue for the heaviest loads — now open-source! @ channable](https://www.channable.com/tech/introducing-opsqueue).]]>
            </summary>
            <updated>2025-10-28T10:36:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/241</id>
            <title type="text"><![CDATA[FastChat]]></title>
            <link rel="alternate" href="https://github.com/lm-sys/FastChat" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/241"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Related contents:

- [Exposer un LLM local avec FastChat @ DevSecOps :fr:](https://blog.stephane-robert.info/docs/developper/programmation/python/fastchat/).
- [Evals are not all you need @ Andrew Marble](https://www.marble.onl/posts/evals_are_not_all_you_need.html).]]>
            </summary>
            <updated>2025-10-27T15:09:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/242</id>
            <title type="text"><![CDATA[futurecoder]]></title>
            <link rel="alternate" href="https://futurecoder.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/242"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[learn python from scratch.
100% free and interactive Python course for beginners.

This is a 100% free and interactive course for people to teach themselves programming in Python, especially complete beginners at programming. It is carefully designed to reduce frustration and guide the user while still ensuring that they learn how to solve problems. The goal is for as many people as possible to learn programming.

- [futurecoder @ GitHub](https://github.com/alexmojaki/futurecoder).]]>
            </summary>
            <updated>2025-12-09T09:20:55+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/275</id>
            <title type="text"><![CDATA[robinzhon]]></title>
            <link rel="alternate" href="https://github.com/rohaquinlop/robinzhon" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/275"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A high-performance Python library for fast, concurrent S3 object downloads.]]>
            </summary>
            <updated>2025-12-31T14:22:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/279</id>
            <title type="text"><![CDATA[UnMarker]]></title>
            <link rel="alternate" href="https://github.com/andrekassis/ai-watermark" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/279"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Universal Attack on Defensive Image Watermarking.

Related contents:

- [UnMarker - L&amp;#039;outil qui ridiculise les watermarks des images IA @ Korben :fr:](https://korben.info/unmarker-outil-ridiculise-watermarks-images.html).]]>
            </summary>
            <updated>2025-11-12T16:25:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/299</id>
            <title type="text"><![CDATA[torrra]]></title>
            <link rel="alternate" href="https://github.com/stabldev/torrra" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/299"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Python tool that lets you find and download torrents without leaving your CLI. 

torrra provides a streamlined command-line interface for your torrent needs. It allows you to search for and download torrents, and manage active downloads without leaving your terminal, offering a fast and efficient solution for command-line users.]]>
            </summary>
            <updated>2025-12-31T14:19:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/300</id>
            <title type="text"><![CDATA[transfunctions]]></title>
            <link rel="alternate" href="https://github.com/pomponchik/transfunctions" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/300"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Say NO to Python fragmentation on sync and async.

This library is designed to solve one of the most important problems in python programming - dividing all written code into 2 camps: sync and async. We get rid of code duplication by using templates.]]>
            </summary>
            <updated>2025-12-31T14:23:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/304</id>
            <title type="text"><![CDATA[Mesop]]></title>
            <link rel="alternate" href="https://mesop-dev.github.io/mesop/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/304"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Rapidly build AI apps in Python.

Create web apps without the complexity of frontend development.
Used at Google for rapid AI app development. 

Mesop is a Python-based UI framework that allows you to rapidly build web apps like demos and internal apps.

- [Mesop @ GitHub](https://github.com/mesop-dev/mesop).]]>
            </summary>
            <updated>2026-01-19T15:55:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/314</id>
            <title type="text"><![CDATA[any-agent]]></title>
            <link rel="alternate" href="https://mozilla-ai.github.io/any-agent/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/314"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[any-agent is a Python library providing a single interface to different agent frameworks.

- [any-agent @ GitHub](https://github.com/mozilla-ai/any-agent).]]>
            </summary>
            <updated>2025-12-31T14:21:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/317</id>
            <title type="text"><![CDATA[any-llm]]></title>
            <link rel="alternate" href="https://mozilla-ai.github.io/any-llm/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/317"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Communicate with an LLM provider using a single interface.

any-llm is a Python library providing a single interface to different llm providers.

- [any-llm @ GitHub](https://github.com/mozilla-ai/any-llm).]]>
            </summary>
            <updated>2026-01-19T15:56:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/353</id>
            <title type="text"><![CDATA[Python]]></title>
            <link rel="alternate" href="https://www.python.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/353"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Python is a programming language that lets you work quickly and integrate systems more effectively.

Related contents:

- [Python: The Documentary | An origin story @ CultRepo&amp;#039;s YouTube](https://www.youtube.com/watch?v=GfH4QL4VqJ0)
  (source: [Python - Comment un petit projet de Noël est devenu le langage de
  l&amp;#039;IA et de la science @ Korben :fr:](https://korben.info/python-documentaire-histoire.html)).
- [I&amp;#039;m Switching to Python and Actually Liking It @ César Soto Valero](https://www.cesarsotovalero.net/blog/i-am-switching-to-python-and-actually-liking-it.html).
- [Python has had async for 10 years -- why isn&amp;#039;t it more popular? @ Anthony Shaw](https://tonybaloney.github.io/posts/why-isnt-python-async-more-popular.html).
- [Why Today’s Python Developers Are Embracing Type Hints @ Pyrefly](https://pyrefly.org/blog/why-typed-python/).
- [The Parameter Laboratory: Decorators with Arguments @ Aaron Rose&amp;#039;s dev.to](https://dev.to/aaron_rose_0787cc8b4775a0/the-parameter-laboratory-decorators-with-arguments-40mp).
- [Why Is Python So Popular in 2025? @ JetBrains Blog](https://blog.jetbrains.com/pycharm/2025/09/why-is-python-so-popular/).
- [Why Reactive Programming Hasn&amp;#039;t Taken Off in Python (And How Signals Can Change That) @ bui.app](https://bui.app/why-reactive-programming-hasnt-taken-off-in-python-and-how-signals-can-change-that/).
- [Python&amp;#039;s splitlines does a lot more than just newlines @ william woodruff](https://yossarian.net/til/post/python-s-splitlines-does-a-lot-more-than-just-newlines/).
- [dev-requirements.txt is bad @ koaning.io](https://koaning.io/posts/dev-requirements.txt-is-bad/).
- [The future of Python web services looks GIL-free @ Fluxus](https://blog.baro.dev/p/the-future-of-python-web-services-looks-gil-free).
- [How often does Python allocate? @ zackoverflow](https://zackoverflow.dev/writing/how-often-does-python-allocate/).
- [10 Smart Performance Hacks For Faster Python Code @ Jetbrains Blog](https://blog.jetbrains.com/pycharm/2025/11/10-smart-performance-hacks-for-faster-python-code/).
- [Python is not a great language for data science. Part 1: The experience @ Genes, Minds, Machines](https://blog.genesmindsmachines.com/p/python-is-not-a-great-language-for).
- [Use Python for Scripting! @ hyPiRion](https://hypirion.com/musings/use-python-for-scripting).
- [Deprecations via warnings don’t work for Python libraries @ Seth Larson](https://sethmlarson.dev/deprecations-via-warnings-dont-work-for-python-libraries).
- [4 mois de Python de manière intensive: mon retour sur le langage @ (mcorbin.fr) :fr:](https://mcorbin.fr/posts/2025-12-26-python-langage/).
- [Python Numbers Every Programmer Should Know @ Michael Kennedy](https://mkennedy.codes/posts/python-numbers-every-programmer-should-know/).
- [WebAssembly as a Python extension platform @ null program](https://nullprogram.com/blog/2026/01/01/).
- [Stop Writing Spaghetti if-else Chains: Parsing JSON with Python’s match-case @ toward data science](https://towardsdatascience.com/stop-writing-spaghetti-if-else-chains-parsing-json-with-pythons-match-case/).
- [Python Basics: The Complete Beginner’s Guide to Programming in 2026 🐍 @ Peter Njuguna&amp;#039;s Medium](https://medium.com/@pcodesdev/python-basics-the-complete-beginners-guide-to-programming-in-2026-a0fedf8fe6f7).
- [How we made Python&amp;#039;s packaging library 3x faster @ ISciNumPy.dev](https://iscinumpy.dev/post/packaging-faster/).
- [Python Only Has One Real Competitor @ Ethan McCue](https://mccue.dev/pages/2-6-26-python-competitor).
- [Python Type Checker Comparison: Empty Container Inference @ Pyrefly](https://pyrefly.org/blog/container-inference-comparison/).
- [The Story of Python&amp;#039;s Lazy Imports: Why It Took Three Years and Two Attempts @ TechLife](https://techlife.blog/posts/the-story-of-pythons-lazy-imports-why-it-took-three-years-and-two-attempts/).]]>
            </summary>
            <updated>2026-03-10T12:06:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/356</id>
            <title type="text"><![CDATA[Chainlit]]></title>
            <link rel="alternate" href="https://docs.chainlit.io/get-started/overview" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/356"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Chainlit is an open-source Python package to build production ready Conversational AI.

- [Chainlit @ GitHub](https://github.com/Chainlit/chainlit).

Related contents:

- [Prise en main de Chainlit @ DevSecOps :fr:](https://blog.stephane-robert.info/docs/developper/programmation/python/chainlit/).]]>
            </summary>
            <updated>2026-01-23T15:18:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/357</id>
            <title type="text"><![CDATA[Agent Development Kit]]></title>
            <link rel="alternate" href="https://google.github.io/adk-docs/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/357"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open-source, code-first Python or Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Agent Development Kit (ADK) is a flexible and modular framework for developing and deploying AI agents. While optimized for Gemini and the Google ecosystem, ADK is model-agnostic, deployment-agnostic, and is built for compatibility with other frameworks. ADK was designed to make agent development feel more like software development, to make it easier for developers to create, deploy, and orchestrate agentic architectures that range from simple tasks to complex workflows.

- [Agent Development Kit (ADK) Python @ GitHub](https://github.com/google/adk-python).
- [Agent Development Kit (ADK) Java @ GitHub](https://github.com/google/adk-java).
- [Agent Development Kit (ADK) for Go @ GitHub](https://github.com/google/adk-go).

Related contents:

- [ADK architecture: When to use sub-agents versus agents as tools @ Google Cloud Blog](https://cloud.google.com/blog/topics/developers-practitioners/where-to-use-sub-agents-versus-agents-as-tools).]]>
            </summary>
            <updated>2025-11-19T06:35:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/363</id>
            <title type="text"><![CDATA[aiosqlitepool:]]></title>
            <link rel="alternate" href="https://github.com/slaily/aiosqlitepool" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/363"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🛡️A resilient, high-performance asynchronous connection pool layer for SQLite, designed for efficient and scalable database operations.]]>
            </summary>
            <updated>2026-01-20T15:30:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/367</id>
            <title type="text"><![CDATA[Loki]]></title>
            <link rel="alternate" href="https://github.com/Neo23x0/Loki" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/367"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Simple IOC and YARA Scanner.
Scanner for Simple Indicators of Compromise.]]>
            </summary>
            <updated>2026-01-20T15:30:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/389</id>
            <title type="text"><![CDATA[watchfiles]]></title>
            <link rel="alternate" href="https://watchfiles.helpmanual.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/389"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Simple, modern and high performance file watching and code reload in python, written in Rust.
Underlying file system notifications are handled by the Notify rust library.

- [watchfiles](https://github.com/samuelcolvin/watchfiles).]]>
            </summary>
            <updated>2026-03-25T15:20:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/406</id>
            <title type="text"><![CDATA[Graphiti]]></title>
            <link rel="alternate" href="https://help.getzep.com/graphiti/getting-started/welcome" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/406"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build Real-Time Knowledge Graphs for AI Agents.

Graphiti is a Python framework for building temporally-aware knowledge graphs designed for AI agents. It enables real-time incremental updates to knowledge graphs without batch recomputation, making it suitable for dynamic environments where relationships and information evolve over time.

- [Graphiti @ GitHub](https://github.com/getzep/graphiti).]]>
            </summary>
            <updated>2026-02-12T12:59:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/434</id>
            <title type="text"><![CDATA[WASM Agents Blueprint]]></title>
            <link rel="alternate" href="https://github.com/mozilla-ai/wasm-agents-blueprint" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/434"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Testing WASM-powered AI agents.

This Blueprint demonstrates how to run AI agents directly in the browser using WebAssembly (WASM) through Pyodide and the OpenAI Agents Python SDK. Experience the power of Python-based AI agents without external dependencies – agent code runs directly in your web browser. 

Related contents:

- [Wasm-agents: AI agents running in your browser @ Mozilla.ai](https://blog.mozilla.ai/wasm-agents-ai-agents-running-in-your-browser/).]]>
            </summary>
            <updated>2025-08-28T17:09:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/465</id>
            <title type="text"><![CDATA[OpenEvolve]]></title>
            <link rel="alternate" href="https://github.com/codelion/openevolve" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/465"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open-source implementation of the AlphaEvolve system described in the Google DeepMind paper &amp;quot;AlphaEvolve: A coding agent for scientific and algorithmic discovery&amp;quot; (2025).]]>
            </summary>
            <updated>2025-08-28T17:14:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/483</id>
            <title type="text"><![CDATA[Monarch]]></title>
            <link rel="alternate" href="https://github.com/pytorch-labs/monarch" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/483"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PyTorch Single Controller.

Monarch is a distributed execution engine for PyTorch. Our overall goal is to deliver the high-quality user experience that people get from single-GPU PyTorch, but at cluster scale.]]>
            </summary>
            <updated>2025-08-28T17:18:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/500</id>
            <title type="text"><![CDATA[Mojo 🔥]]></title>
            <link rel="alternate" href="https://www.modular.com/mojo" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/500"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Powerful CPU+GPU Programming.
Mojo   is a pythonic language for blazing-fast CPU+GPU execution without CUDA. Optionally use it with MAX for insanely fast AI inference.

- [Modular Platform @ GitHub](https://github.com/modular/modular).

Related contents:

- [Python can run Mojo now @  koaning.io](https://koaning.io/posts/giving-mojo-a-spin/).]]>
            </summary>
            <updated>2025-08-28T17:21:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/520</id>
            <title type="text"><![CDATA[EnrichMCP]]></title>
            <link rel="alternate" href="https://github.com/featureform/enrichmcp" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/520"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[EnrichMCP is a Python framework that helps AI agents understand and navigate your data. Built on MCP (Model Context Protocol), it adds a semantic layer that turns your data model into typed, discoverable tools - like an ORM for AI.]]>
            </summary>
            <updated>2025-08-28T17:23:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/530</id>
            <title type="text"><![CDATA[Genkit]]></title>
            <link rel="alternate" href="https://github.com/firebase/genkit?tab=readme-ov-file" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/530"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open source framework for building AI-powered apps with familiar code-centric patterns. Genkit makes it easy to develop, integrate, and test AI features with observability and evaluations. Genkit works with various models and platforms.

Genkit is an open-source framework for building full-stack AI-powered applications, built and used in production by Google&amp;#039;s Firebase. It provides SDKs for multiple programming languages with varying levels of stability]]>
            </summary>
            <updated>2025-08-28T17:26:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/586</id>
            <title type="text"><![CDATA[Chatterbox TTS]]></title>
            <link rel="alternate" href="https://resemble-ai.github.io/chatterbox_demopage/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/586"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[We&amp;#039;re excited to introduce Chatterbox, our first production-grade open source TTS model. Licensed under MIT, Chatterbox has been benchmarked against leading closed-source systems like ElevenLabs, and is consistently preferred in side-by-side evaluations.

- [Chatterbox TTS @ GitHub](https://github.com/resemble-ai/chatterbox).]]>
            </summary>
            <updated>2025-08-28T17:35:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/598</id>
            <title type="text"><![CDATA[Paws-on-MCP]]></title>
            <link rel="alternate" href="https://github.com/hemanth/paws-on-mcp" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/598"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Unified MCP Server Implementation.

A comprehensive Model Context Protocol (MCP) server implementing the latest MCP 2025-03-26 specification. Demonstrates MCP capabilities including tools, resources, prompts, roots, and enhanced sampling with model preferences. Features HackerNews and GitHub API integrations with AI-powered analysis through advanced MCP sampling.]]>
            </summary>
            <updated>2025-08-28T17:38:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/601</id>
            <title type="text"><![CDATA[Pydantic]]></title>
            <link rel="alternate" href="https://pydantic.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/601"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Data validation using Python type hints.

Pydantic is the most widely used data validation library for Python.

Fast and extensible, Pydantic plays nicely with your linters/IDE/brain. Define how data should be in pure, canonical Python 3.9+; validate it with Pydantic.

- [Pydantic @ GitHub](https://github.com/pydantic/pydantic).

Related contents:

- [Loading Pydantic models from JSON without running out of memory @ Python=&amp;gt;Speed](https://pythonspeed.com/articles/pydantic-json-memory/).
- [Software Engineering for Data Scientists, Part 1: Pydantic Is All You Need for Poor Performance Spaghetti Code @ Han, Not Solo](https://leehanchung.github.io/blogs/2025/07/03/pydantic-is-all-you-need-for-performance-spaghetti/).]]>
            </summary>
            <updated>2025-08-28T17:38:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/626</id>
            <title type="text"><![CDATA[Juvio]]></title>
            <link rel="alternate" href="https://github.com/OKUA1/juvio" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/626"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[UV kernel for Jupyter.

reproducible, dependency-aware, and Git-friendly Jupyter Notebooks.]]>
            </summary>
            <updated>2025-08-28T17:42:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/633</id>
            <title type="text"><![CDATA[FastMCP]]></title>
            <link rel="alternate" href="https://gofastmcp.com/getting-started/welcome" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/633"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The fast, Pythonic way to build MCP servers and clients.

The Model Context Protocol (MCP) is a new, standardized way to provide context and tools to your LLMs, and FastMCP makes building MCP servers and clients simple and intuitive. Create tools, expose resources, define prompts, and more with clean, Pythonic code.

- [FastMCP @ GitHub](https://github.com/jlowin/fastmcp).
- [FastMCP Cloud](https://fastmcp.cloud/).

Related contents:

- [An Open-Source Maintainer&amp;#039;s Guide to Saying No @ Mostly Harmless](https://www.jlowin.dev/blog/oss-maintainers-guide-to-saying-no).
- [Learn MCP Essentials and How to Create Secure Agent Interfaces with FastMCP @ freeCodeCamp](https://www.freecodecamp.org/news/learn-mcp-essentials-and-how-to-create-secure-agent-interfaces-with-fastmcp/).]]>
            </summary>
            <updated>2025-10-22T14:15:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/638</id>
            <title type="text"><![CDATA[MonsterUI]]></title>
            <link rel="alternate" href="https://monsterui.answer.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/638"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[MonsterUI is a UI framework for FastHTML for building beautiful web interfaces with minimal code. It combines the simplicity of Python with the power of Tailwind. Perfect for data scientists, ML engineers, and developers who want to quickly turn their Python code into polished web apps without the complexity of traditional UI frameworks. Follows semantic HTML patterns when possible.

- [MonsterUI @ GitHub](https://github.com/AnswerDotAI/MonsterUI).

Related contents:

- [MonsterUI: Bringing Beautiful UI to FastHTML @ Answer.AI](https://www.answer.ai/posts/2025-01-15-monsterui.html).]]>
            </summary>
            <updated>2025-08-28T17:44:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/641</id>
            <title type="text"><![CDATA[Pyrefly]]></title>
            <link rel="alternate" href="https://pyrefly.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/641"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Static Type Checker for Python.

- [Pyrefly @ GitHub](https://github.com/facebook/pyrefly).

Related contents:

- [Pyrefly vs. ty: Comparing Python’s Two New Rust-Based Type Checkers @ Edward Li&amp;#039;s Blog](https://blog.edward-li.com/tech/comparing-pyrefly-vs-ty/).]]>
            </summary>
            <updated>2025-08-28T17:44:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/660</id>
            <title type="text"><![CDATA[sports]]></title>
            <link rel="alternate" href="https://github.com/roboflow/sports" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/660"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[computer vision and sports.

In sports, every centimeter and every second matter. That&amp;#039;s why Roboflow decided to use sports as a testing ground to push our object detection, image segmentation, keypoint detection, and foundational models to their limits. This repository contains reusable tools that can be applied in sports and beyond.]]>
            </summary>
            <updated>2025-08-28T17:48:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/673</id>
            <title type="text"><![CDATA[LLM]]></title>
            <link rel="alternate" href="https://llm.datasette.io/en/stable/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/673"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A CLI utility and Python library for interacting with Large Language Models.

A CLI tool and Python library for interacting with OpenAI, Anthropic’s Claude, Google’s Gemini, Meta’s Llama and dozens of other Large Language Models, both via remote APIs and with models that can be installed and run on your own machine.

- [LLM @ GitHub](https://github.com/simonw/llm/).

Related contents:

- [Large Language Models can run tools in your terminal with LLM 0.26 @ Simon Willison’s Weblog](https://simonwillison.net/2025/May/27/llm-tools/).
- [Using AI Without Leaving the Terminal: A Guide to llm @ Ashwin&amp;#039;s Blog](https://kashw1n.com/blog/llm-cli/).
- [Evaluating LLMs for my personal use case @ Graham King](https://darkcoding.net/software/personal-ai-evals-aug-2025/).]]>
            </summary>
            <updated>2025-09-04T16:51:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/676</id>
            <title type="text"><![CDATA[Memvid]]></title>
            <link rel="alternate" href="https://github.com/Olow304/memvid" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/676"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Video-Based AI Memory 🧠📹.

Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed. 

Memvid revolutionizes AI memory management by encoding text data into videos, enabling lightning-fast semantic search across millions of text chunks with sub-second retrieval times. Unlike traditional vector databases that consume massive amounts of RAM and storage, Memvid compresses your knowledge base into compact video files while maintaining instant access to any piece of information.]]>
            </summary>
            <updated>2025-08-28T17:50:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/682</id>
            <title type="text"><![CDATA[NumPy]]></title>
            <link rel="alternate" href="https://numpy.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/682"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[NumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, random simulation and much more.

- [Numpy @ GitHub](https://github.com/numpy/numpy).

Related contents:

- [I don&amp;#039;t like NumPy @ Dynomight](https://dynomight.net/numpy/).]]>
            </summary>
            <updated>2025-08-28T17:51:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/699</id>
            <title type="text"><![CDATA[micrograd]]></title>
            <link rel="alternate" href="https://github.com/karpathy/micrograd?tab=readme-ov-file" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/699"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.

A tiny Autograd engine (with a bite! :)). Implements backpropagation (reverse-mode autodiff) over a dynamically built DAG and a small neural networks library on top of it with a PyTorch-like API. Both are tiny, with about 100 and 50 lines of code respectively. The DAG only operates over scalar values, so e.g. we chop up each neuron into all of its individual tiny adds and multiplies. However, this is enough to build up entire deep neural nets doing binary classification, as the demo notebook shows. Potentially useful for educational purposes.

Related contents:

- [Writing that changed how I think about PL @ Max Bernstein](https://bernsteinbear.com/blog/pl-writing/).]]>
            </summary>
            <updated>2025-08-28T17:54:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/701</id>
            <title type="text"><![CDATA[ZeroMQ]]></title>
            <link rel="alternate" href="https://zeromq.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/701"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open-source universal messaging library.

 ZeroMQ (also known as ØMQ, 0MQ, or zmq) looks like an embeddable networking library but acts like a concurrency framework. It gives you sockets that carry atomic messages across various transports like in-process, inter-process, TCP, and multicast. You can connect sockets N-to-N with patterns like fan-out, pub-sub, task distribution, and request-reply. It&amp;#039;s fast enough to be the fabric for clustered products. Its asynchronous I/O model gives you scalable multicore applications, built as asynchronous message-processing tasks. It has a score of language APIs and runs on most operating systems. 

- [ZeroMQ @ GitHub](https://github.com/zeromq).]]>
            </summary>
            <updated>2025-08-28T17:54:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/725</id>
            <title type="text"><![CDATA[codesys]]></title>
            <link rel="alternate" href="https://github.com/RVCA212/codesys" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/725"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Python SDK for interacting with the Claude CLI tool.]]>
            </summary>
            <updated>2025-08-28T17:58:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/743</id>
            <title type="text"><![CDATA[ty]]></title>
            <link rel="alternate" href="https://github.com/astral-sh/ty" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/743"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An extremely fast Python type checker and language server, written in Rust.

Related contents:

- [Pyrefly vs. ty: Comparing Python’s Two New Rust-Based Type Checkers @ Edward Li&amp;#039;s Blog](https://blog.edward-li.com/tech/comparing-pyrefly-vs-ty/).]]>
            </summary>
            <updated>2025-08-28T18:02:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/764</id>
            <title type="text"><![CDATA[Pipask]]></title>
            <link rel="alternate" href="https://github.com/feynmanix/pipask" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/764"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Safer python package installs with audit and consent 𝘣𝘦𝘧𝘰𝘳𝘦 install.

Pipask is a drop-in replacement for pip that performs security checks before installing a package. Unlike pip, which needs to download and execute code from source distribution first to get dependency metadata, pipask relies on metadata from PyPI whenever possible. If 3rd party code execution is necessary, pipask asks for consent first. The actual installation is handed over to pip if installation is approved.]]>
            </summary>
            <updated>2025-08-28T18:06:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/770</id>
            <title type="text"><![CDATA[markdown2]]></title>
            <link rel="alternate" href="https://github.com/trentm/python-markdown2" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/770"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A fast and complete implementation of Markdown in Python.

Related contents:

- [Minimum viable blog @ Carl Öst Wilkens&amp;#039; Blog](https://ostwilkens.se/blog/setting-up-blog).]]>
            </summary>
            <updated>2025-08-28T18:06:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/778</id>
            <title type="text"><![CDATA[Dataframely]]></title>
            <link rel="alternate" href="https://dataframely.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/778"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A declarative, 🐻‍❄️-native data frame validation library. 

Dataframely is a Python package to validate the schema and content of polars data frames. Its purpose is to make data pipelines more robust by ensuring that data meet expectations and more readable by adding schema information to data frame type hints.

- [Dataframely @ GitHub](https://github.com/Quantco/dataframely).]]>
            </summary>
            <updated>2025-08-28T18:07:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/791</id>
            <title type="text"><![CDATA[PyXL]]></title>
            <link rel="alternate" href="https://www.runpyxl.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/791"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Python, on hardware.

PyXL is a custom chip that runs Python directly in hardware.
no VM, no JIT, no C. Just fast, native Python execution. 

Related contents:

- [🧪 GPIO round-trip at 480ns @ PyXL](https://www.runpyxl.com/gpio).]]>
            </summary>
            <updated>2025-08-28T18:10:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/799</id>
            <title type="text"><![CDATA[CleverBee]]></title>
            <link rel="alternate" href="https://cleverb.ee/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/799"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Transparent AI, Rooted in Research, Open to All.
The Open Source Deep Researcher Tool.
AI-Powered Online Data Information Synthesis Assistant.

CleverBee is a powerful Python-based research assistant agent using Large Language Models (LLMs) like Claude and Gemini, Playwright for web browsing, and Chainlit for an interactive UI. It performs research assistance by browsing the web, extracting content (HTML), cleaning it, and synthesizing findings based on user research topics.

- [CleverBee @ GitHub](https://github.com/SureScaleAI/cleverbee).]]>
            </summary>
            <updated>2025-08-28T18:10:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/847</id>
            <title type="text"><![CDATA[Moose]]></title>
            <link rel="alternate" href="https://docs.fiveonefour.com/moose" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/847"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Moose lets you develop analytical backends in pure TypeScript or Python code.
The developer framework for your data &amp;amp; analytics stack.

Moose is an open source developer framework for building analytical backends. Moose is designed to help you quickly prototype, productionize, and scale data products, data pipelines, and data APIs - on OLAP and streaming infrastructure - using native TypeScript or Python.

- [Moose @ GitHub](https://github.com/514-labs/moose).]]>
            </summary>
            <updated>2025-08-28T18:18:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/872</id>
            <title type="text"><![CDATA[Garmin Grafana]]></title>
            <link rel="alternate" href="https://github.com/arpanghosh8453/garmin-grafana" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/872"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Python Script to fetch Garmin health data and populate that in a InfluxDB Database, for visualization long term health trends with Grafana.]]>
            </summary>
            <updated>2025-08-28T18:23:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/918</id>
            <title type="text"><![CDATA[sqlc]]></title>
            <link rel="alternate" href="https://sqlc.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/918"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Compile SQL to type-safe code;
catch failures before they happen. 

- [sqlc @ GitHub](https://github.com/sqlc-dev/sqlc).]]>
            </summary>
            <updated>2025-08-28T18:30:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/939</id>
            <title type="text"><![CDATA[tox]]></title>
            <link rel="alternate" href="https://tox.wiki/en/4.25.0/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/939"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[tox aims to automate and standardize testing in Python. It is part of a larger vision of easing the packaging, testing and release process of Python software (alongside pytest and devpi).

- [tox @ GitHub](https://github.com/tox-dev/tox).

Related contents:

- [Tox : Tests Python multi-environnements @ DevSecOps :fr:](https://blog.stephane-robert.info/docs/developper/programmation/python/tests/tox/).]]>
            </summary>
            <updated>2025-08-28T18:34:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/974</id>
            <title type="text"><![CDATA[AutoSubSync]]></title>
            <link rel="alternate" href="https://github.com/denizsafak/AutoSubSync" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/974"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AutoSubSync is a user-friendly Python tool that automatically synchronizes your subtitles with your videos using powerful tools such as ffsubsync and alass. It also lets you manually adjust the subtitle timings. Just drag and drop your files, and let AutoSubSync do the rest, making subtitle alignment both simple and efficient.]]>
            </summary>
            <updated>2025-08-28T18:39:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/988</id>
            <title type="text"><![CDATA[hcpy]]></title>
            <link rel="alternate" href="https://github.com/osresearch/hcpy" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/988"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Interface with Home Connect appliances in Python.

 Python tool to talk to Home Connect appliances over the local network (no cloud required).

Related contents:

- [I won&amp;#039;t connect my dishwasher to your stupid cloud @ Level 2 Jeff&amp;#039;s YouTube](https://www.youtube.com/watch?v=5M_hmwBBPnc).]]>
            </summary>
            <updated>2025-08-28T18:42:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/989</id>
            <title type="text"><![CDATA[smartfunc]]></title>
            <link rel="alternate" href="https://github.com/koaning/smartfunc" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/989"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Turn docstrings into LLM-functions.]]>
            </summary>
            <updated>2025-08-28T18:42:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1031</id>
            <title type="text"><![CDATA[in-toto]]></title>
            <link rel="alternate" href="https://in-toto.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1031"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A framework to secure the integrity of software supply chains.

in-toto is designed to ensure the integrity of a software product from initiation to end-user installation. It does so by making it transparent to the user what steps were performed, by whom and in what order.

- [in-toto](https://in-toto.github.io/).
- [in-toto @ GitHub](https://github.com/in-toto/in-toto).

Related contents:

- [Episode \#497: sécurisation de la chaîne d’approvisionnement logicielle (software supply chain) @ NoLimitSecu :fr:](https://www.nolimitsecu.fr/).
- [Secure publication of Datadog Agent integrations with TUF and in-toto @ Datadog](https://www.datadoghq.com/blog/engineering/secure-publication-of-datadog-agent-integrations-with-tuf-and-in-toto/).]]>
            </summary>
            <updated>2025-08-28T18:48:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1032</id>
            <title type="text"><![CDATA[Supply-Chain Firewall]]></title>
            <link rel="alternate" href="https://github.com/DataDog/supply-chain-firewall/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1032"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A tool for preventing the installation of malicious PyPI and npm packages 🔥.

Supply-Chain Firewall is a command-line tool for preventing the installation of malicious PyPI and npm packages. It is intended primarily for use by engineers to protect their development workstations from compromise in a supply-chain attack.

Related contents:

- [Episode \#497: sécurisation de la chaîne d’approvisionnement logicielle (software supply chain) @ NoLimitSecu :fr:](https://www.nolimitsecu.fr/).]]>
            </summary>
            <updated>2025-08-28T18:48:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1033</id>
            <title type="text"><![CDATA[Malicious Software Packages Dataset]]></title>
            <link rel="alternate" href="https://github.com/DataDog/malicious-software-packages-dataset/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1033"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open-source dataset of malicious software packages found in the wild, 100% vetted by humans. 

This repository is an open-source dataset of 5938 malicious software packages (and counting) identified by Datadog, as part of our security research efforts in software supply-chain security. Most of the malicious packages have been identified by GuardDog.

Related contents:

- [Episode \#497: sécurisation de la chaîne d’approvisionnement logicielle (software supply chain) @ NoLimitSecu :fr:](https://www.nolimitsecu.fr/).]]>
            </summary>
            <updated>2025-08-28T18:50:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1034</id>
            <title type="text"><![CDATA[GuardDog]]></title>
            <link rel="alternate" href="https://github.com/DataDog/guarddog" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1034"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🐍 🔍 GuardDog is a CLI tool to Identify malicious PyPI and npm packages.

GuardDog is a CLI tool that allows to identify malicious PyPI and npm packages or Go modules. It runs a set of heuristics on the package source code (through Semgrep rules) and on the package metadata.
GuardDog can be used to scan local or remote PyPI and npm packages or Go modules using any of the available heuristics.

Related contents:

- [Finding malicious PyPI packages through static code analysis: Meet GuardDog @ Datadog Security Labs](https://securitylabs.datadoghq.com/articles/guarddog-identify-malicious-pypi-packages/).
- [Episode \#497: sécurisation de la chaîne d’approvisionnement logicielle (software supply chain) @ NoLimitSecu :fr:](https://www.nolimitsecu.fr/).]]>
            </summary>
            <updated>2025-08-28T18:50:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1074</id>
            <title type="text"><![CDATA[SSLyze]]></title>
            <link rel="alternate" href="https://github.com/nabla-c0d3/sslyze" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1074"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[SSLyze is a fast and powerful SSL/TLS scanning tool and Python library.

SSLyze can analyze the SSL/TLS configuration of a server by connecting to it, in order to ensure that it uses strong encryption settings (certificate, cipher suites, elliptic curves, etc.), and that it is not vulnerable to known TLS attacks (Heartbleed, ROBOT, OpenSSL CCS injection, etc.).]]>
            </summary>
            <updated>2025-08-28T18:55:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1080</id>
            <title type="text"><![CDATA[textcase]]></title>
            <link rel="alternate" href="https://pypi.org/project/textcase/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1080"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A feature-rich Python text case conversion library.

- [textcase @ GitHub](https://github.com/zobweyt/textcase).]]>
            </summary>
            <updated>2025-08-28T18:56:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1081</id>
            <title type="text"><![CDATA[GPOddity]]></title>
            <link rel="alternate" href="https://github.com/synacktiv/GPOddity" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1081"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The GPOddity project, aiming at automating GPO attack vectors through NTLM relaying (and more).

Related contents:

- [GPOddity: Et si vos GPO devenaient votre pire cauchemar Active Directory ? @ Laurent Biagiotti&amp;#039;s LinkedIn :fr:](https://www.linkedin.com/posts/laurent-biagiotti-19779284_%F0%9D%97%9A%F0%9D%97%A3%F0%9D%97%A2%F0%9D%97%B1%F0%9D%97%B1%F0%9D%97%B6%F0%9D%98%81%F0%9D%98%86-et-si-vos-gpo-devenaient-activity-7313070210100387840-ouHJ/).]]>
            </summary>
            <updated>2025-08-28T18:56:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1099</id>
            <title type="text"><![CDATA[Blosc]]></title>
            <link rel="alternate" href="https://www.blosc.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1099"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[As data volumes continue to grow in fields like machine learning and scientific computing, optimizing fundamental operations like matrix multiplication becomes increasingly critical. Blosc2&amp;#039;s chunk-based approach offers a new path to efficiency in these scenarios.

Blosc is a high performance compressor optimized for binary data (i.e. floating point numbers, integers and booleans, although it can handle string data too). It has been designed to transmit data to the processor cache faster than the traditional, non-compressed, direct memory fetch approach via a memcpy() OS call. Blosc main goal is not just to reduce the size of large datasets on-disk or in-memory, but also to accelerate memory-bound computations.

- [C-Blosc2 @ GitHub](https://github.com/Blosc/c-blosc2).

Related contents:

- [Compress Better, Compute Bigger @ ironArray](https://ironarray.io/blog/compute-bigger).]]>
            </summary>
            <updated>2025-08-28T18:59:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1151</id>
            <title type="text"><![CDATA[xorq]]></title>
            <link rel="alternate" href="https://www.xorq.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1151"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[ML Pipelines From Another Planet.Build out-of-this-world ML pipelines.

Run-anywhere computational framework for Python that simplifies and accelerates ML workflows and development. 
xorq is a deferred computational framework for building, running, and serving pandas groupby-apply style pipelines common in ML workflows. xorq is built on top of Ibis and Apache DataFusion.

- [xorq @ GitHub](https://github.com/xorq-labs/xorq).
- [xorq documentation](https://docs.xorq.dev/overview).]]>
            </summary>
            <updated>2025-08-28T19:07:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1178</id>
            <title type="text"><![CDATA[StarVector]]></title>
            <link rel="alternate" href="https://starvector.github.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1178"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[StarVector is a foundation model for SVG generation that transforms vectorization into a code generation task. Using a vision-language modeling architecture, StarVector processes both visual and textual inputs to produce high-quality SVG code with remarkable precision. 

- [StarVector @ GitHub](https://github.com/joanrod/star-vector).]]>
            </summary>
            <updated>2025-08-28T19:12:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1192</id>
            <title type="text"><![CDATA[FastOpenAPI]]></title>
            <link rel="alternate" href="https://github.com/mr-fatalyst/fastopenapi" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1192"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[FastOpenAPI is a library for generating and integrating OpenAPI schemas using Pydantic v2 and various frameworks (Falcon, Flask, Quart, Sanic, Starlette, Tornado).]]>
            </summary>
            <updated>2025-08-28T19:15:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1216</id>
            <title type="text"><![CDATA[SageMath]]></title>
            <link rel="alternate" href="https://www.sagemath.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1216"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-Source Mathematical Software System.

SageMath is a free open-source mathematics software system licensed under the GPL. It builds on top of many existing open-source packages: NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, R and many more. Access their combined power through a common, Python-based language or directly via interfaces or wrappers. 

- [SageMath @ GitHub](https://github.com/sagemath/sage).]]>
            </summary>
            <updated>2025-08-28T19:19:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1247</id>
            <title type="text"><![CDATA[localscope]]></title>
            <link rel="alternate" href="https://localscope.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1247"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Restrict the scope of functions for reproducible code execution and peace of mind. 

Have you ever hunted bugs caused by accidentally using a global variable in a function in a Jupyter notebook? Have you ever scratched your head because your code broke after restarting the Python kernel? localscope can help by restricting the variables a function can access.

- [localscope @ GitHub](https://github.com/tillahoffmann/localscope).]]>
            </summary>
            <updated>2025-08-28T19:23:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1275</id>
            <title type="text"><![CDATA[aiopandas]]></title>
            <link rel="alternate" href="https://github.com/telekinesis-inc/aiopandas" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1275"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🚀 Async-Powered Pandas.

 Lightweight Pandas monkey-patch that adds async support to map, apply, applymap, aggregate, and transform, enabling seamless handling of async functions with controlled max_parallel execution.]]>
            </summary>
            <updated>2025-08-28T19:29:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1285</id>
            <title type="text"><![CDATA[Flower]]></title>
            <link rel="alternate" href="https://flower.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1285"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Friendly Federated AI Framework.

A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language.

- [Flower @ GitHub](https://github.com/adap/flower).]]>
            </summary>
            <updated>2025-08-28T19:31:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1290</id>
            <title type="text"><![CDATA[The Loki Framework]]></title>
            <link rel="alternate" href="https://github.com/malwaredojo/loki" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1290"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Automated Command Line Identity Generation Tool for OSINT Investigators.
Command Line Sock Puppet Creator for Investigators.

Loki can create a sock puppet identity, that you can use to create a fake online presence to start your investigations. As an OSINT, Private or any other Investigator who seeks to conduct OSINT investigations; you need a sock puppet which cannot be traced back to you. Setting up a sock puppet is easy; only if you know where to look for.]]>
            </summary>
            <updated>2025-08-28T19:31:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1293</id>
            <title type="text"><![CDATA[PySimpleGUI]]></title>
            <link rel="alternate" href="https://pysimplegui.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1293"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Python GUIs for Humans! PySimpleGUI is the top-rated Python application development environment. Launched in 2018 and actively developed, maintained, and supported in 2024. Transforms tkinter, Qt, WxPython, and Remi into a simple, intuitive, and fun experience for both hobbyists and expert users. 

- [PySimpleGUI @ GitHub](https://github.com/PySimpleGUI/PySimpleGUI).

Related contents:

- [A Python GUI Library Called PySimpleGUI @ Python in Plain English&amp;#039;s Medium](https://python.plainenglish.io/a-python-gui-library-called-pysimplegui-e689984b2626).]]>
            </summary>
            <updated>2025-08-28T19:32:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1296</id>
            <title type="text"><![CDATA[Nuanced]]></title>
            <link rel="alternate" href="https://www.nuanced.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1296"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Nuanced is an open-source library that generates enriched call graphs with static analysis annotations, providing AI coding tools with deeper understanding of code behavior.

- [Nuanced @ GitHub](https://github.com/nuanced-dev/nuanced).]]>
            </summary>
            <updated>2025-08-28T19:32:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1332</id>
            <title type="text"><![CDATA[Kuzu]]></title>
            <link rel="alternate" href="https://kuzudb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1332"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An embeddable, scalable, extremely fast graph database.

 Embeddable property graph database management system built for query speed and scalability. Implements Cypher.
Kuzu is an embedded graph database built for query speed and scalability. Kuzu is optimized for handling complex analytical workloads on very large databases and provides a set of retrieval features, such as a full text search and vector indices. Our core feature set includes:

- [Kuzu @ GitHub](https://github.com/kuzudb/kuzu).

Related contents:

- [Fully In-Browser Graph RAG with Kuzu-Wasm @ Kuzu](https://blog.kuzudb.com/post/kuzu-wasm-rag/).]]>
            </summary>
            <updated>2025-08-28T19:39:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1334</id>
            <title type="text"><![CDATA[Evolving Agents Framework]]></title>
            <link rel="alternate" href="https://github.com/matiasmolinas/evolving-agents" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1334"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Evolving agents is a production-grade environment for orchestrating, evolving, and managing AI agents.

A production-grade framework for creating, managing, and evolving AI agents with intelligent agent-to-agent communication. The framework enables you to build collaborative agent ecosystems that can semantically understand requirements, evolve based on past experiences, and communicate effectively to solve complex tasks.]]>
            </summary>
            <updated>2025-08-28T19:39:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1338</id>
            <title type="text"><![CDATA[Letta]]></title>
            <link rel="alternate" href="https://www.letta.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1338"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Platform for Building Stateful Agents.
Build agents with infinite context and human-like memory, that can learn from data and improve with experience.
 Letta (formerly MemGPT) is a framework for creating LLM services with memory. 

👾 Letta is an open source framework for building stateful LLM applications. You can use Letta to build stateful agents with advanced reasoning capabilities and transparent long-term memory. The Letta framework is white box and model-agnostic.

- [Letta @ GitHub](https://github.com/letta-ai/letta).
- [Letta documentation](https://docs.letta.com/).

Related contents:

- [Letta Filesystem @ Letta documentation](https://docs.letta.com/guides/agents/filesystem).]]>
            </summary>
            <updated>2025-10-17T05:38:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1342</id>
            <title type="text"><![CDATA[CAMEL-AI Framework]]></title>
            <link rel="alternate" href="https://camel-ai.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1342"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Finding the Scaling Laws of Agents. The first and the best multi-agent framework.

 🐫 CAMEL is an open-source community dedicated to finding the scaling laws of agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.

The framework enables multi-agent systems to continuously evolve by generating data and interacting with environments. This evolution can be driven by reinforcement learning with verifiable rewards or supervised learning.

- [CAMEL-AI @ GitHub](https://github.com/camel-ai/camel).]]>
            </summary>
            <updated>2025-08-28T19:40:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1408</id>
            <title type="text"><![CDATA[Probly]]></title>
            <link rel="alternate" href="https://probly-ai.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1408"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An AI powered spreadsheet tool with a minimalist approach that combines spreadsheet functionality with Python data analysis capabilities.

- [Probly @ GitHub](https://github.com/PragmaticMachineLearning/probly).]]>
            </summary>
            <updated>2025-08-28T19:51:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1415</id>
            <title type="text"><![CDATA[Tach]]></title>
            <link rel="alternate" href="https://docs.gauge.sh/getting-started/introduction" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1415"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Tach allows you to control dependencies between your Python modules. Modules can also define an explicit public interface to prevent deep coupling.

 A Python tool to visualize + enforce dependencies, using modular architecture 🌎 Open source 🐍 Installable via pip 🔧 Able to be adopted incrementally - ⚡ Implemented with no runtime impact ♾️ Interoperable with your existing systems 🦀 Written in rust 

- [Tach @ GitHub](https://github.com/gauge-sh/tach).]]>
            </summary>
            <updated>2025-08-28T19:52:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1429</id>
            <title type="text"><![CDATA[The Xonsh Shell]]></title>
            <link rel="alternate" href="https://xon.sh/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1429"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Python-powered shell.

Xonsh is a modern, full-featured and cross-platform python shell. The language is a superset of Python 3.6+ with additional shell primitives that you are used to from Bash and IPython. It works on all major systems including Linux, OSX, and Windows. Xonsh is meant for the daily use of experts and novices.

- [Xonsh @ GitHub](https://github.com/xonsh/xonsh).]]>
            </summary>
            <updated>2025-08-28T19:55:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1438</id>
            <title type="text"><![CDATA[Uvicorn]]></title>
            <link rel="alternate" href="https://www.uvicorn.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1438"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Uvicorn is an ASGI web server implementation for Python.

Until recently Python has lacked a minimal low-level server/application interface for async frameworks. The ASGI specification fills this gap, and means we&amp;#039;re now able to start building a common set of tooling usable across all async frameworks.

Uvicorn currently supports HTTP/1.1 and WebSockets.

- [Uvicorn @ GitHub](https://github.com/encode/uvicorn).]]>
            </summary>
            <updated>2025-08-28T19:56:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1439</id>
            <title type="text"><![CDATA[Shiny]]></title>
            <link rel="alternate" href="https://shiny.posit.co/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1439"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Easy web apps for data science without the compromises.
No web development skills required.

- [Shiny @ GitHub](https://github.com/rstudio/shiny).
- [Shiny for Python @ GitHub](https://github.com/posit-dev/py-shiny/).

Related contents:

- [Episode 608: R With Eric Nantz @ Coder Radio](https://coder.show/608).
- [Shiny Developer Series homepage](https://shinydevseries.com/).]]>
            </summary>
            <updated>2025-08-28T19:56:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1455</id>
            <title type="text"><![CDATA[Locust]]></title>
            <link rel="alternate" href="https://github.com/locustio/locust/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1455"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Write scalable load tests in plain Python 🚗💨

Locust is an open source performance/load testing tool for HTTP and other protocols. Its developer-friendly approach lets you define your tests in regular Python code.
Locust tests can be run from command line or using its web-based UI. Throughput, response times and errors can be viewed in real time and/or exported for later analysis.]]>
            </summary>
            <updated>2025-08-28T19:59:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1505</id>
            <title type="text"><![CDATA[DeepEval]]></title>
            <link rel="alternate" href="https://docs.confident-ai.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1505"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Open-Source LLM Evaluation Framework.

DeepEval is a simple-to-use, open-source LLM evaluation framework, for evaluating and testing large-language model systems. It is similar to Pytest but specialized for unit testing LLM outputs. DeepEval incorporates the latest research to evaluate LLM outputs based on metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., which uses LLMs and various other NLP models that runs locally on your machine for evaluation.

- [DeepEval @ GitHub](https://github.com/confident-ai/deepeval).]]>
            </summary>
            <updated>2025-08-28T20:07:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1507</id>
            <title type="text"><![CDATA[Apache OpenDAL™]]></title>
            <link rel="alternate" href="https://opendal.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1507"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OpenDAL represents Open Data Access Layer. Our vision is One Layer, All Storage.

OpenDAL (/ˈoʊ.pən.dæl/, pronounced &amp;quot;OH-puhn-dal&amp;quot;) is an Open Data Access Layer that enables seamless interaction with diverse storage services.

OpenDAL&amp;#039;s development is guided by its vision of One Layer, All Storage and its core principles: Open Community, Solid Foundation, Fast Access, Object Storage First, and Extensible Architecture.

- [OpenDAL @ GitHub](https://github.com/apache/OpenDAL).

Related contents:

- [AWS S3 SDK breaks its compatible services @ Xuanwo&amp;#039;s Blog](https://xuanwo.io/links/2025/02/aws_s3_sdk_breaks_its_compatible_services/).]]>
            </summary>
            <updated>2025-08-28T20:07:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1522</id>
            <title type="text"><![CDATA[uv]]></title>
            <link rel="alternate" href="https://docs.astral.sh/uv/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1522"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An extremely fast Python package and project manager, written in Rust.

- [uv @ GitHub](https://github.com/astral-sh/uv).

Related contents:

- [A year of uv: pros, cons, and should you migrate @ Bite code!](https://www.bitecode.dev/p/a-year-of-uv-pros-cons-and-should).
- [uv format: Code Formatting Comes to uv (experimentally!) @ Python Developer Tooling Handbook](https://pydevtools.com/blog/uv-format-code-formatting-comes-to-uv-experimentally/).
- [Episode #660: Reinventing Python tooling with Rust @ Changelog Interviews](https://changelog.com/podcast/660).
- [uv is the best thing to happen to the Python ecosystem in a decade @ Dr. Emily L. Hunt](https://emily.space/posts/251023-uv).
- [Tame Python Chaos With uv – The Superpower Every AI Engineer Needs @ ShiftMag](https://shiftmag.dev/tame-python-chaos-with-uv-the-superpower-every-ai-engineer-needs-6051/).
- [How uv got so fast @ Andrew Nesbitt](https://nesbitt.io/2025/12/26/how-uv-got-so-fast.html).]]>
            </summary>
            <updated>2026-01-05T08:43:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1526</id>
            <title type="text"><![CDATA[Pyre]]></title>
            <link rel="alternate" href="https://pyre-check.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1526"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A performant type-checker for Python 3.

Pyre is a performant type checker for Python compliant with PEP 484. Pyre can analyze codebases with millions of lines of code incrementally – providing instantaneous feedback to developers as they write code. You can try it out on examples in the Pyre Playground.

- [Pyre @ GitHub](https://github.com/facebook/pyre-check).

Related contents:

- [Pysa: An open source static analysis tool to detect and prevent security issues in Python code @ Engineering at Meta](https://engineering.fb.com/2020/08/07/security/pysa/).]]>
            </summary>
            <updated>2025-08-28T20:11:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1530</id>
            <title type="text"><![CDATA[Scripton Python IDE]]></title>
            <link rel="alternate" href="https://scripton.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1530"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A New Kind of Python IDE]]>
            </summary>
            <updated>2025-08-28T20:11:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1551</id>
            <title type="text"><![CDATA[Kreuzberg]]></title>
            <link rel="alternate" href="https://github.com/Goldziher/kreuzberg" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1551"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A text extraction library supporting PDFs, images, office documents and more.

Kreuzberg is a Python library for text extraction from documents. It provides a unified async interface for extracting text from PDFs, images, office documents, and more.]]>
            </summary>
            <updated>2025-08-28T20:15:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1614</id>
            <title type="text"><![CDATA[WAT]]></title>
            <link rel="alternate" href="https://igrek51.github.io/wat/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1614"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Deep inspection of Python objects.

WAT is a powerful inspection tool designed to help you explore unknown objects and examine them at runtime.

- [WAT @ GitHub](https://github.com/igrek51/wat).]]>
            </summary>
            <updated>2025-08-28T20:25:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1663</id>
            <title type="text"><![CDATA[Gooey]]></title>
            <link rel="alternate" href="https://github.com/chriskiehl/Gooey" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1663"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Turn (almost) any Python command line program into a full GUI application with one line.

Gooey converts your Console Applications into end-user-friendly GUI applications. It lets you focus on building robust, configurable programs in a familiar way, all without having to worry about how it will be presented to and interacted with by your average user.]]>
            </summary>
            <updated>2025-08-28T20:33:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1664</id>
            <title type="text"><![CDATA[Redis Vector Library (RedisVL)]]></title>
            <link rel="alternate" href="https://docs.redisvl.com/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1664"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A powerful, AI-native Python client library for Redis. Leverage the speed, flexibility, and reliability of Redis for real-time data to supercharge your AI application.

- [RedisVL @ GitHub](https://github.com/redis/redis-vl-python).

Related contents:

- [You need more than a vector database @ Redis](https://redis.io/blog/you-need-more-than-a-vector-database/).]]>
            </summary>
            <updated>2025-08-28T20:33:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1665</id>
            <title type="text"><![CDATA[LiteLLM]]></title>
            <link rel="alternate" href="https://www.litellm.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1665"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[LLM Gateway to provide model access, logging and usage tracking across 100+ LLMs. All in the OpenAI format.

- [LiteLLM @ GitHub](https://github.com/BerriAI/litellm).

Related contents:

- [You need more than a vector database @ Redis](https://redis.io/blog/you-need-more-than-a-vector-database/).
- [À la découverte de liteLLM, une plateforme pour les gouverner tous @ Arneo&amp;#039;s YouTube :fr:](https://www.youtube.com/watch?v=L8CeGZ0Pf5o).
- [TeamPCP supply chain attack spreads to PyPI @ Reversing Labs](https://www.reversinglabs.com/blog/teampcp-supply-chain-attack-spreads).
- [How a Poisoned Security Scanner Became the Key to Backdooring LiteLLM @ snyk](https://snyk.io/fr/articles/poisoned-security-scanner-backdooring-litellm/).
- [Building a Kubernetes-native pattern for AI infrastructure at scale @ The New Stack](https://thenewstack.io/kubernetes-native-ai-infrastructure/).
- [My minute-by-minute response to the LiteLLM malware attack @ futuresearch](https://futuresearch.ai/blog/litellm-attack-transcript/).
- [A popular Python library just became a backdoor to your entire machine @ XDA](https://www.xda-developers.com/popular-python-library-backdoor-machine/).
- [LLMs on Kubernetes Part 1: Understanding the threat model @ CNCF](https://www.cncf.io/blog/2026/03/30/llms-on-kubernetes-part-1-understanding-the-threat-model/).]]>
            </summary>
            <updated>2026-04-07T05:46:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1698</id>
            <title type="text"><![CDATA[Oumi]]></title>
            <link rel="alternate" href="https://oumi.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1698"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Universal Machine Intellingence.
E2E Foundation Model Research Platform.
Everything you need to build state-of-the-art foundation models, end-to-end. 

Oumi is a fully open-source platform that streamlines the entire lifecycle of foundation models - from data preparation and training to evaluation and deployment. Whether you&amp;#039;re developing on a laptop, launching large scale experiments on a cluster, or deploying models in production, Oumi provides the tools and workflows you need.

- [Oumi @ GitHub](https://github.com/oumi-ai/oumi).]]>
            </summary>
            <updated>2025-08-28T20:39:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1748</id>
            <title type="text"><![CDATA[🦜🕸️LangGraph]]></title>
            <link rel="alternate" href="https://langchain-ai.github.io/langgraph/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1748"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[LangGraph is a library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows.

- [🦜🕸️LangGraph @ GitHub](https://github.com/langchain-ai/langgraph).

Related contents:

- [Building effective agents @ Anthropic](https://www.anthropic.com/research/building-effective-agents).]]>
            </summary>
            <updated>2025-08-28T20:47:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1778</id>
            <title type="text"><![CDATA[Streamlit]]></title>
            <link rel="alternate" href="https://github.com/streamlit/streamlit" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1778"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A faster way to build and share data apps.
Streamlit turns data scripts into shareable web apps in minutes.
All in pure Python. No front‑end experience required.

Streamlit lets you transform Python scripts into interactive web apps in minutes, instead of weeks. Build dashboards, generate reports, or create chat apps. Once you’ve created an app, you can use our Community Cloud platform to deploy, manage, and share your app.]]>
            </summary>
            <updated>2025-08-28T20:52:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1779</id>
            <title type="text"><![CDATA[Haystack]]></title>
            <link rel="alternate" href="https://haystack.deepset.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1779"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Production-Ready Open Source AI Framework.

 AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it&amp;#039;s best suited for building RAG, question answering, semantic search or conversational agent chatbots. 

- [Haystack @ GitHub](https://github.com/deepset-ai/haystack).]]>
            </summary>
            <updated>2025-08-28T20:52:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1797</id>
            <title type="text"><![CDATA[Nitric Cloud-Native Framework]]></title>
            <link rel="alternate" href="https://nitric.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1797"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Get Infrastructure from Code. Effortless backends with infrastructure from code.
Nitric is a multi-language framework for cloud applications with infrastructure from code. 

Nitric is a multi-language framework, with concise inline infrastructure from code. Modern applications should be robust, productive and a joy to build. Nitric solves common problems building for modern platforms:

- [Nitric](https://github.com/nitrictech/nitric).

Related contents:

- [5 Open Source Tools for Backend Developers in 2025 @ Arindam Majumder&amp;#039;s dev.to](https://dev.to/arindam_1729/5-open-source-tools-for-backend-developers-in-2025-3lng).]]>
            </summary>
            <updated>2025-08-28T20:55:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1831</id>
            <title type="text"><![CDATA[pytube]]></title>
            <link rel="alternate" href="https://pytube.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1831"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[pytube is a lightweight, Pythonic, dependency-free, library (and command-line utility) for downloading YouTube Videos.

- [pytube @ GitHub](https://github.com/pytube/pytube).]]>
            </summary>
            <updated>2025-08-28T21:01:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1882</id>
            <title type="text"><![CDATA[Ruff]]></title>
            <link rel="alternate" href="https://docs.astral.sh/ruff/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1882"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An extremely fast Python linter and code formatter, written in Rust.

- [Ruff @ GitHub](https://github.com/astral-sh/ruff).

Related contents:
 
- [Episode \#660: Reinventing Python tooling with Rust @ Changelog Interviews](https://changelog.com/podcast/660).]]>
            </summary>
            <updated>2025-10-07T05:32:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1898</id>
            <title type="text"><![CDATA[Agent Recipes]]></title>
            <link rel="alternate" href="https://www.agentrecipes.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1898"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Explore Agent Recipes

Explore common agent recipes with ready to copy code to improve your LLM applications. 

Related contents:

- [Building effective agents @ Anthropic](https://www.anthropic.com/research/building-effective-agents).]]>
            </summary>
            <updated>2025-08-28T21:13:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1904</id>
            <title type="text"><![CDATA[bluesky-crossposter]]></title>
            <link rel="alternate" href="https://github.com/Linus2punkt0/bluesky-crossposter" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1904"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An app for crossposting your posts from bluesky to twitter and mastodon.

- [Automatisez vos posts sur Bluesky, Twitter et Mastodon avec ce script de crossposting @ Korben :fr:](https://korben.info/automatiser-crossposting-bluesky-mastodon-twitter.html).]]>
            </summary>
            <updated>2025-08-28T21:14:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1913</id>
            <title type="text"><![CDATA[Valkey GLIDE]]></title>
            <link rel="alternate" href="https://github.com/valkey-io/valkey-glide" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1913"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open source Valkey client library that supports Valkey and Redis open source 6.2, 7.0 and 7.2. Valkey GLIDE is designed for reliability, optimized performance, and high-availability, for Valkey and Redis OSS based applications. GLIDE is a multi language client library, written in Rust with programming language bindings, such as Java and Python 

Related contents:

- [Reducing application latency and lowering Cloud bill by setting up your client library @ Valkey](https://valkey.io/blog/az-affinity-strategy/).]]>
            </summary>
            <updated>2025-08-28T21:16:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1928</id>
            <title type="text"><![CDATA[Qtile]]></title>
            <link rel="alternate" href="https://qtile.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1928"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🍪 A full-featured, hackable tiling window manager written and configured in Python (X11 + Wayland) 

- [Qtile @ GitHub](https://github.com/qtile/qtile/).

Related contents:

- [Panadestein’s Nix/NixOS Configuration @ GitHub](https://github.com/Panadestein/nixos-config).]]>
            </summary>
            <updated>2025-08-28T21:18:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1941</id>
            <title type="text"><![CDATA[asr2clip]]></title>
            <link rel="alternate" href="https://github.com/Oaklight/asr2clip" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1941"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[handy cli tool to convert your speech to clipboard text.

This tool is designed to recognize speech in real-time, convert it to text, and automatically copy the text to the system clipboard. The tool leverages API services for speech recognition and uses Python libraries for audio capture and clipboard management.]]>
            </summary>
            <updated>2025-08-28T21:20:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1948</id>
            <title type="text"><![CDATA[fsociety]]></title>
            <link rel="alternate" href="https://fsociety.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1948"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Modular Penetration Testing Framework.

- [fsociety @ GitHub](https://github.com/fsociety-team/fsociety).
- [Fsociety Hacking Tools Pack @ GitHub](https://github.com/Manisso/fsociety).]]>
            </summary>
            <updated>2025-08-28T21:21:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1950</id>
            <title type="text"><![CDATA[structured-logprobs]]></title>
            <link rel="alternate" href="https://arena-ai.github.io/structured-logprobs/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1950"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[structured-logprobs is an open-source Python library that enhances OpenAI&amp;#039;s structured outputs by providing detailed information about token log probabilities.

This library is designed to offer valuable insights into the reliability of an LLM&amp;#039;s structured outputs. It works with OpenAI&amp;#039;s Structured Outputs, a feature that ensures the model consistently generates responses adhering to a supplied JSON Schema. This eliminates concerns about missing required keys or hallucinating invalid values.

- [structured-logprobs @ GitHub](https://github.com/arena-ai/structured-logprobs).]]>
            </summary>
            <updated>2025-08-28T21:21:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1956</id>
            <title type="text"><![CDATA[Kraken]]></title>
            <link rel="alternate" href="https://github.com/jasonxtn/Kraken" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1956"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[All-in-One Toolkit for BruteForce Attacks.
A Python-based tool to centralize and streamline BruteForce Attacks.

Kraken is a powerful, Python-based tool designed to centralize and streamline various brute-forcing tasks. Kraken provides a suite of tools for cybersecurity professionals to efficiently perform brute-force attacks across a range of protocols and services.]]>
            </summary>
            <updated>2025-08-28T21:22:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1960</id>
            <title type="text"><![CDATA[Codon]]></title>
            <link rel="alternate" href="https://docs.exaloop.io/codon" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1960"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A high-performance, zero-overhead, extensible Python compiler using LLVM.

Codon is a high-performance Python compiler that compiles Python code to native machine code without any runtime overhead. Typical speedups over Python are on the order of 100x or more, on a single thread. Codon supports native multithreading which can lead to speedups many times higher still.

- [Codon @ GitHub](https://github.com/exaloop/codon).]]>
            </summary>
            <updated>2025-08-28T21:24:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1971</id>
            <title type="text"><![CDATA[Pyper]]></title>
            <link rel="alternate" href="https://github.com/pyper-dev/pyper" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1971"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Concurrent Python made simple.

Pyper is a flexible framework for concurrent and parallel data-processing, based on functional programming patterns. Used for 🔀 ETL Systems, ⚙️ Data Microservices, and 🌐 Data Collection]]>
            </summary>
            <updated>2025-08-28T21:24:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1981</id>
            <title type="text"><![CDATA[JAX]]></title>
            <link rel="alternate" href="https://jax.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1981"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[High performance array computing.

 Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more 

- [JAX @ GitHub](https://github.com/jax-ml/jax).

Related contents:

- [The PyTorch developer&amp;#039;s guide to JAX fundamentals @ Google Cloud Blog](https://cloud.google.com/blog/products/ai-machine-learning/guide-to-jax-for-pytorch-developers).]]>
            </summary>
            <updated>2025-08-28T21:26:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2029</id>
            <title type="text"><![CDATA[pytubefix]]></title>
            <link rel="alternate" href="https://pytubefix.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2029"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Python3 library for downloading YouTube Videos. 

pytubefix is a lightweight, Pythonic, dependency-free, library (and command-line utility) for downloading YouTube Videos.

- [pytubefix @ GitHub](https://github.com/JuanBindez/pytubefix).

Related contents:

- [PyTubeFix - Téléchargez des vidéos YouTube en Python @ Korben :fr:](https://korben.info/pytubefix-telechargement-videos-youtube-python.html).]]>
            </summary>
            <updated>2025-08-28T21:34:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2036</id>
            <title type="text"><![CDATA[DrissionPage官网 :cn:]]></title>
            <link rel="alternate" href="https://drissionpage.cn/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2036"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Python based web automation tool. Powerful and elegant. 

DrissionPage is a Python-based web automation tool.
It can control the browser, send and receive packets, and combine the two.
You can balance the convenience of browser automation with the efficiency of requests.
It is powerful, built-in countless user-friendly design and convenient features.
Its syntax is simple and elegant, the code is small, and it is friendly to beginners.

- [DrissionPage @ GitHub](https://github.com/g1879/DrissionPage).]]>
            </summary>
            <updated>2025-08-28T21:36:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2077</id>
            <title type="text"><![CDATA[git-of-theseus]]></title>
            <link rel="alternate" href="https://github.com/erikbern/git-of-theseus" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2077"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Analyze how a Git repo grows over time.]]>
            </summary>
            <updated>2025-08-28T21:42:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2095</id>
            <title type="text"><![CDATA[kr8s]]></title>
            <link rel="alternate" href="https://docs.kr8s.org/en/stable/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2095"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A simple, extensible Python client library for Kubernetes that feels familiar for folks who already know how to use kubectl.

 A batteries-included Python client library for Kubernetes that feels familiar for folks who already know how to use kubectl 

- [kr8s @ GitHub](https://github.com/kr8s-org/kr8s).]]>
            </summary>
            <updated>2025-08-28T21:45:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2144</id>
            <title type="text"><![CDATA[Microsoft Graph SDK]]></title>
            <link rel="alternate" href="https://learn.microsoft.com/en-us/graph/sdks/sdks-overview" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2144"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Microsoft Graph software development kits (SDKs) are designed to simplify building high-quality, efficient, resilient applications that access Microsoft Graph. The SDKs include two components: a service library and a core library.

The service library contains models and request builders generated from Microsoft Graph metadata. The service library provides a rich, strongly-typed, and discoverable experience when working with the many datasets available in Microsoft Graph.

- [Microsoft Graph SDK for PHP @ GitHub](https://github.com/microsoftgraph/msgraph-sdk-php).]]>
            </summary>
            <updated>2025-08-28T21:53:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2157</id>
            <title type="text"><![CDATA[ADcheck]]></title>
            <link rel="alternate" href="https://github.com/CobblePot59/ADcheck" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2157"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Assess the security of your Active Directory with few or all privileges. 

Assess the security of your Active Directory with few or all privileges. This tool offers functionalities similar to PingCastle, ORADAD, or even PurpleKnight (with some bonuses).

Related contents:

- [Renforcez la sécurité de votre Active Directory avec ADcheck @ ATTEIB H.(BirackInit)&amp;#039;s LinkedIn :fr:](https://www.linkedin.com/posts/atteib-h-birackinit-83a657221_%F0%9D%90%91%F0%9D%90%9E%F0%9D%90%A7%F0%9D%90%9F%F0%9D%90%A8%F0%9D%90%AB%F0%9D%90%9C%F0%9D%90%9E%F0%9D%90%B3-%F0%9D%90%A5%F0%9D%90%9A-%F0%9D%90%AC%F0%9D%90%9E%F0%9D%90%9C%F0%9D%90%AE%F0%9D%90%AB%F0%9D%90%A2%F0%9D%90%AD%F0%9D%90%9E-activity-7280568542926671873-t8Op/).]]>
            </summary>
            <updated>2025-08-28T21:56:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2198</id>
            <title type="text"><![CDATA[🤗 smolagents]]></title>
            <link rel="alternate" href="https://github.com/huggingface/smolagents" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2198"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.]]>
            </summary>
            <updated>2025-08-28T22:02:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2209</id>
            <title type="text"><![CDATA[Surfer Protocol]]></title>
            <link rel="alternate" href="https://docs.surferprotocol.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2209"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Surfer Protocol is an open-source framework that allows you to export your personal data from various platforms.

Your personal data is siloed across many platforms and apps. Big tech companies have no incentive to give you easy access to your own data. Whether you want to make an AI clone that texts like you, reclaim your data from big tech, or leave a digital legacy, Surfer Protocol is the way to do it.

Currently, Surfer Protocol consists of a Python SDK and a Desktop App. The Desktop App is used for exporting your data from your favorite apps and services. The Python SDK is used for building applications off of your personal data.

- [Surfer Protocol @ GitHub](https://github.com/Surfer-Org/Protocol).]]>
            </summary>
            <updated>2025-08-28T22:04:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2220</id>
            <title type="text"><![CDATA[MarkItDown]]></title>
            <link rel="alternate" href="https://github.com/microsoft/markitdown" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2220"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Python tool for converting files and office documents to Markdown.
MarkItDown is a utility for converting various files to Markdown (e.g., for indexing, text analysis, etc).

- [MarkItDown-MCP @ GitHub](https://github.com/microsoft/markitdown/tree/main/packages/markitdown-mcp).

Related contents:

- [MarkItDown - Convertissez tous vos documents en Markdown très facilement @ Korben :fr:](https://korben.info/markitdown-convertisseur-fichiers-markdown.html).
- [Convertir un document au format Markdown avec MarkItDown : Word, PDF, PowerPoint, Excel, etc. @ IT-Connect :fr:](https://www.it-connect.fr/convertir-un-document-au-format-markdown-avec-markitdown/).]]>
            </summary>
            <updated>2026-03-06T14:52:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2240</id>
            <title type="text"><![CDATA[PipeGate]]></title>
            <link rel="alternate" href="https://github.com/janbjorge/pipegate" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2240"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PipeGate is a lightweight, self-hosted proxy built with FastAPI, designed as a &amp;quot;poor man&amp;#039;s ngrok.&amp;quot; It allows you to expose your local servers to the internet, providing a simple way to create tunnels from your local machine to the external world.]]>
            </summary>
            <updated>2025-08-28T22:09:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2273</id>
            <title type="text"><![CDATA[mypy]]></title>
            <link rel="alternate" href="https://www.mypy-lang.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2273"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Optional Static Typing for Python.

 Mypy is an optional static type checker for Python that aims to combine the benefits of dynamic (or &amp;quot;duck&amp;quot;) typing and static typing. Mypy combines the expressive power and convenience of Python with a powerful type system and compile-time type checking. Mypy type checks standard Python programs; run them using any Python VM with basically no runtime overhead. 

- [mypy @ GitHub](https://github.com/python/mypy).
- [\[JOUR 18\] II. Python, the right way : Types, Type Hints et Mypy @ Data-Crafting.io Newsletter :fr:](https://datacrafting.substack.com/p/jour-18-ii-python-the-right-way-types).]]>
            </summary>
            <updated>2025-08-28T22:16:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2277</id>
            <title type="text"><![CDATA[GPU Puzzles]]></title>
            <link rel="alternate" href="https://github.com/srush/GPU-Puzzles" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2277"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Solve puzzles. Learn CUDA.

GPU architectures are critical to machine learning, and seem to be becoming even more important every day. However, you can be an expert in machine learning without ever touching GPU code. It is hard to gain intuition working through abstractions.

This notebook is an attempt to teach beginner GPU programming in a completely interactive fashion. Instead of providing text with concepts, it throws you right into coding and building GPU kernels. The exercises use NUMBA which directly maps Python code to CUDA kernels. It looks like Python but is basically identical to writing low-level CUDA code. In a few hours, I think you can go from basics to understanding the real algorithms that power 99% of deep learning today. If you do want to read the manual, it is here:]]>
            </summary>
            <updated>2025-08-28T22:16:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2280</id>
            <title type="text"><![CDATA[Manim]]></title>
            <link rel="alternate" href="https://www.manim.community/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2280"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A community-maintained Python framework for creating mathematical animations. 

Manim is an animation engine for explanatory math videos.

- [Manim @ GitHub](https://github.com/ManimCommunity/manim).]]>
            </summary>
            <updated>2025-08-28T22:16:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2311</id>
            <title type="text"><![CDATA[PydanticAI]]></title>
            <link rel="alternate" href="https://ai.pydantic.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2311"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Agent Framework / shim to use Pydantic with LLMs.

PydanticAI is a Python Agent Framework designed to make it less painful to build production grade applications with Generative AI.

- [PydanticAI @ GitHub](https://github.com/pydantic/pydantic-ai).

Related contents:

- [PydanticAI: A New Python Framework for Streamlined Generative AI Development @ InfoQ](https://www.infoq.com/news/2024/12/pydanticai-framework-gen-ai/).
- [Building your own CLI Coding Agent with Pydantic-AI @ martinFowler.com](https://martinfowler.com/articles/build-own-coding-agent.html).]]>
            </summary>
            <updated>2025-09-09T15:34:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2323</id>
            <title type="text"><![CDATA[SQLAlchemy]]></title>
            <link rel="alternate" href="https://www.sqlalchemy.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2323"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Database Toolkit for Python.

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.

It provides a full suite of well known enterprise-level persistence patterns, designed for efficient and high-performing database access, adapted into a simple and Pythonic domain language.

- [SQLAlchemy @ GitHub](https://github.com/sqlalchemy/sqlalchemy).
- [SqlAlchemy, l&amp;#039;ORM Python - Partie 1 @ DevSecOps :fr:](https://blog.stephane-robert.info/docs/developper/programmation/python/sqlachemy-1/).]]>
            </summary>
            <updated>2025-08-28T22:24:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2344</id>
            <title type="text"><![CDATA[Robot Framework]]></title>
            <link rel="alternate" href="https://robotframework.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2344"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Robot Framework is an open source automation framework for test automation and robotic process automation (RPA). It is supported by the Robot Framework Foundation and widely used in the industry.

Its human-friendly and versatile syntax uses keywords and supports extending through libraries in Python, Java, and other languages.

It integrates with other tools for comprehensive automation without licensing fees, bolstered by a rich community with hundreds of 3rd party libraries.

- [Robot Framework @ GitHub](https://github.com/robotframework/robotframework).
- [Ép 19 : Plongée dans l&amp;#039;univers de la qualité logicielle avec Jean-François Fresi @ Nom d&amp;#039;un Pipeline ! :fr:](https://www.nomdunpipeline.com/episode/ep-19-plongee-dans-lunivers-de-la-qualite-logicielle).]]>
            </summary>
            <updated>2025-08-28T22:26:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2357</id>
            <title type="text"><![CDATA[autorandr]]></title>
            <link rel="alternate" href="https://github.com/phillipberndt/autorandr" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2357"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[_autorandr_ detects the connected display hardware and load the appropriate X11
setup by using `xrandr`.
It automatically selects a display configuration based on connected devices.]]>
            </summary>
            <updated>2025-08-28T22:28:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2386</id>
            <title type="text"><![CDATA[Mopidy]]></title>
            <link rel="alternate" href="https://mopidy.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2386"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Mopidy is an extensible music server written in Python.
It plays music from local disk, Spotify, SoundCloud, TuneIn, …
Users can edit the playlist from any phone, tablet, or computer
using a variety of MPD and web clients.

- [Mopidy @ GitHub](https://github.com/mopidy/mopidy).
- [Mopidy-MPD](https://mopidy.com/ext/mpd/)
  ([Mopidy-MPD @ GitHub](https://github.com/mopidy/mopidy-mpd))
  is a Mopidy extension for controlling playback from MPD clients
  It&amp;#039;s a frontend that provides a full MPD server implementation to make Mopidy
  available from MPD clients.]]>
            </summary>
            <updated>2025-08-28T22:33:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2450</id>
            <title type="text"><![CDATA[picklescan]]></title>
            <link rel="alternate" href="https://github.com/mmaitre314/picklescan" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2450"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Security scanner detecting Python Pickle files performing suspicious actions]]>
            </summary>
            <updated>2025-08-28T22:45:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2451</id>
            <title type="text"><![CDATA[BrowserGym]]></title>
            <link rel="alternate" href="https://github.com/ServiceNow/BrowserGym" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2451"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🌎💪 BrowserGym, a Gym environment for web task automation.

BrowserGym is meant to provide an open, easy-to-use and extensible framework to accelerate the field of web agent research. It is not meant to be a consumer product. Use with caution!]]>
            </summary>
            <updated>2025-08-28T22:45:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2464</id>
            <title type="text"><![CDATA[Fast Music Remover]]></title>
            <link rel="alternate" href="https://github.com/omeryusufyagci/fast-music-remover?ref=selfh.st" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2464"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fast Music Remover is a lightweight tool designed to remove music, sound effects and noise from internet media. Processing takes about 8% of the original source length -that&amp;#039;s under 5 seconds for a minute-long video!]]>
            </summary>
            <updated>2025-08-28T22:46:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2469</id>
            <title type="text"><![CDATA[Python Prompt Toolkit]]></title>
            <link rel="alternate" href="https://python-prompt-toolkit.readthedocs.io/en/master/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2469"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[prompt_toolkit is a library for building powerful interactive command line and terminal applications in Python.

It can be a very advanced pure Python replacement for GNU readline, but it can also be used for building full screen applications.

- [Python Prompt Toolkit @ GitHub](https://github.com/prompt-toolkit/python-prompt-toolkit).
- [&amp;quot;Rules&amp;quot; that terminal programs follow @ Julia Evans](https://jvns.ca/blog/2024/11/26/terminal-rules/).]]>
            </summary>
            <updated>2025-08-28T22:48:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2478</id>
            <title type="text"><![CDATA[Pendulum]]></title>
            <link rel="alternate" href="https://pendulum.eustace.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2478"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Python datetimes made easy.

Unlike other datetime libraries for Python, Pendulum is a drop-in replacement for the standard datetime class (it inherits from it), so, basically, you can replace all your datetime instances by DateTime instances in your code (exceptions exist for libraries that check the type of the objects by using the type function like sqlite3 or PyMySQL for instance).

- [Pendulum @ GitHub](https://github.com/python-pendulum/pendulum).]]>
            </summary>
            <updated>2025-08-28T22:49:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2480</id>
            <title type="text"><![CDATA[QRNet]]></title>
            <link rel="alternate" href="https://github.com/zhaoyuzhi/QRNet" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2480"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[QRNet is a state-of-the-art neural network that transforms the Quad-Bayer pattern into sharp and clean RGB images]]>
            </summary>
            <updated>2025-08-28T22:49:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2483</id>
            <title type="text"><![CDATA[Helium]]></title>
            <link rel="alternate" href="https://github.com/mherrmann/helium" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2483"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Lighter web automation with Python.

Helium is a Python library for automating browsers such as Chrome and Firefox.]]>
            </summary>
            <updated>2025-08-28T22:49:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2485</id>
            <title type="text"><![CDATA[MoneyPrinter 💸]]></title>
            <link rel="alternate" href="https://github.com/FujiwaraChoki/MoneyPrinter" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2485"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Automate Creation of YouTube Shorts using MoviePy. 

Automate the creation of YouTube Shorts, simply by providing a video topic to talk about.]]>
            </summary>
            <updated>2025-08-28T22:50:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2489</id>
            <title type="text"><![CDATA[LaVague]]></title>
            <link rel="alternate" href="https://www.lavague.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2489"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source framework for building Web Agents.
Build and deploy Web Agents in a few lines of code.

- [LaVague @ GitHub](https://github.com/lavague-ai/LaVague).
- [LaVague documentation](https://docs.lavague.ai/en/latest/).]]>
            </summary>
            <updated>2025-08-28T22:50:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2496</id>
            <title type="text"><![CDATA[Automate Presentation Creation with Python]]></title>
            <link rel="alternate" href="https://github.com/gpenessot/Automate-Presentation-Creation-with-Python" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2496"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[This repository contains the code and resources used in the article &amp;quot;Stop Wasting Time, Automate Your Presentation with Python&amp;quot; published on Medium.

- [Stop Wasting Time: Automate Your Presentation with Python @ Gael Penessot&amp;#039;s Medium](https://medium.data-decision.io/stop-wasting-time-automate-your-presentation-with-python-a721fe39c8e5)]]>
            </summary>
            <updated>2025-08-28T22:53:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2497</id>
            <title type="text"><![CDATA[Darkdump]]></title>
            <link rel="alternate" href="https://github.com/josh0xA/darkdump" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2497"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Source Intelligence Interface for Deep Web Scraping.

Darkdump is a OSINT interface for carrying out deep web investgations written in python in which it allows users to enter a search query in which darkdump provides the ability to scrape .onion sites relating to that query to try to extract emails, metadata, keywords, images, social media etc. Darkdump retrieves sites via Ahmia.fi and scrapes those .onion addresses when connected via the tor network.

Related contents:

- [darkdump: Open Source Intelligence Interface for Deep Web Scraping @ Dark Web Informer](https://darkwebinformer.com/darkdump-open-source-intelligence-interface-for-deep-web-scraping/).
- [Darkdump - L&amp;#039;outil OSINT qui fouille le dark web pour vous @ Korben :fr:](https://korben.info/darkdump-outil-osint-fouille-dark-web.html).]]>
            </summary>
            <updated>2025-08-28T22:53:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2501</id>
            <title type="text"><![CDATA[DBOS]]></title>
            <link rel="alternate" href="https://www.dbos.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2501"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build Reliable Backends 10x Faster, Scale to Millions with 1 Click.

DBOS is a serverless platform for building highly reliable applications.
What takes days to build on AWS takes minutes on DBOS.

- [DBOS Transact in Python @ GitHub](https://github.com/dbos-inc/dbos-transact-py).
- [DBOS Transact in Java @ GitHub](https://github.com/dbos-inc/dbos-transact-java).
- [DBOS Transact in Go @ GitHub](https://github.com/dbos-inc/dbos-transact-golang).

Related contents:

- [Running Durable Workflows in Postgres using DBOS @ Supabase](https://supabase.com/blog/durable-workflows-in-postgres-dbos).]]>
            </summary>
            <updated>2025-11-14T12:51:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2590</id>
            <title type="text"><![CDATA[IceCream]]></title>
            <link rel="alternate" href="https://github.com/gruns/icecream" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2590"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🍦 Never use print() to debug again.

Do you ever use print() or log() to debug your code? Of course you do. IceCream, or ic for short, makes print debugging a little sweeter.]]>
            </summary>
            <updated>2025-08-28T23:09:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2597</id>
            <title type="text"><![CDATA[Howdy]]></title>
            <link rel="alternate" href="https://github.com/boltgolt/howdy" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2597"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🛡️ Windows Hello™ style facial authentication for Linux.

Howdy provides Windows Hello™ style authentication for Linux. Use your built-in IR emitters and camera in combination with facial recognition to prove who you are.

Using the central authentication system (PAM), this works everywhere you would otherwise need your password: Login, lock screen, sudo, su, etc.

Related contents:

- [Install Howdy in Ubuntu 24.04 for Windows Hello Style Facial Authentication @ UbuntuHandbook](https://ubuntuhandbook.org/index.php/2024/10/howdy-ubuntu-2404/).
- [I replaced Windows with Linux and everything’s going great @ The Verge](https://www.theverge.com/tech/858910/linux-diary-gaming-desktop).]]>
            </summary>
            <updated>2026-01-19T06:33:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2612</id>
            <title type="text"><![CDATA[KlongPy]]></title>
            <link rel="alternate" href="https://github.com/briangu/klongpy" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2612"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[High-Performance Klong array language in Python.

KlongPy is a Python adaptation of the Klong array language, known for its high-performance vectorized operations that leverage the power of NumPy. Embracing a &amp;quot;batteries included&amp;quot; philosophy, KlongPy combines built-in modules with Python&amp;#039;s expansive ecosystem, facilitating rapid application development with Klong&amp;#039;s succinct syntax.]]>
            </summary>
            <updated>2025-08-28T23:13:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2616</id>
            <title type="text"><![CDATA[Django]]></title>
            <link rel="alternate" href="https://www.djangoproject.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2616"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The web framework for perfectionists with deadlines.

Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design.

- [Django @ GitHub](https://github.com/django/django).

Related contents:

- [The Practical Guide to Scaling Django @ SlimSaaS](https://slimsaas.com/blog/django-scaling-performance).
- [Django: one ORM to rule all databases 💍 @ Paolo Melchiorre](https://www.paulox.net/2025/10/06/django-orm-comparison/).
- [Django: what’s new in 6.0 @ Adam Johnson](https://adamj.eu/tech/2025/12/03/django-whats-new-6.0/).]]>
            </summary>
            <updated>2025-12-10T13:04:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2631</id>
            <title type="text"><![CDATA[Steel]]></title>
            <link rel="alternate" href="https://steel.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2631"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source Headless Browser API.

 🚧 Open Source Browser API for AI Agents &amp;amp; Apps. Steel Browser is a batteries-included browser instance that lets you build automate the web without worrying about infrastructure. 

- [Steel @ GitHub](https://github.com/steel-dev/steel-browser).]]>
            </summary>
            <updated>2025-10-14T11:28:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2670</id>
            <title type="text"><![CDATA[aisuite]]></title>
            <link rel="alternate" href="https://github.com/andrewyng/aisuite" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2670"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Simple, unified interface to multiple Generative AI providers.

aisuite makes it easy for developers to use multiple LLM through a standardized interface. Using an interface similar to OpenAI&amp;#039;s, aisuite makes it easy to interact with the most popular LLMs and compare the results. It is a thin wrapper around python client libraries, and allows creators to seamlessly swap out and test responses from different LLM providers without changing their code. Today, the library is primarily focussed on chat completions. We will expand it cover more use cases in near future.]]>
            </summary>
            <updated>2025-08-28T23:21:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2684</id>
            <title type="text"><![CDATA[Pyxel]]></title>
            <link rel="alternate" href="https://github.com/kitao/pyxel" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2684"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Pyxel is a retro game engine for Python.

With simple specifications inspired by retro gaming consoles, such as displaying only 16 colors and supporting 4 sound channels, you can easily enjoy making pixel-art-style games.

- [Initiation à la création de jeu rétro avec Pyxel @ Garambrogne 2.0 :fr:](https://blog.garambrogne.net/pyxel-initiation.html).]]>
            </summary>
            <updated>2025-08-28T23:25:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2697</id>
            <title type="text"><![CDATA[Connexion]]></title>
            <link rel="alternate" href="https://connexion.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2697"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Connexion is a modern Python web framework that makes spec-first and api-first development easy. You describe your API in an OpenAPI (or swagger) specification with as much detail as you want and Connexion will guarantee that it works as you specified.

- [Connexion @ GitHub](https://github.com/spec-first/connexion).
- [Développement d&amp;#039;API Rest avec Connexion - Partie 1 @ DevSecOps :fr:](https://blog.stephane-robert.info/docs/developper/programmation/python/connexion-1/).]]>
            </summary>
            <updated>2025-08-28T23:26:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2706</id>
            <title type="text"><![CDATA[Polars]]></title>
            <link rel="alternate" href="https://pola.rs/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2706"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[DataFrames for the new era.

Dataframes powered by a multithreaded, vectorized query engine, written in Rust 

Polars is a DataFrame interface on top of an OLAP Query Engine implemented in Rust using Apache Arrow Columnar Format as the memory model.

Polars is an open-source library for data manipulation, known for being one of the fastest data processing solutions on a single machine. It features a well-structured, typed API that is both expressive and easy to use.

- [Polars @ GitHub](https://github.com/pola-rs/polars/).

Related contents:

- [Polars at Decathlon: Ready to Play? @ Decathlon Digital](https://medium.com/decathlondigital/polars-at-decathlon-ready-to-play-6abc4328d06c).
- [Decathlon Switches to Polars to Optimize Data Pipelines and Infrastructure Costs @ InfoQ](https://www.infoq.com/news/2025/12/decathlon-spark-polars/).
- [DuckDB beats Polars for 1TB of data @ Confessions of a Data Guy](https://www.confessionsofadataguy.com/duckdb-beats-polars-for-1tb-of-data/).]]>
            </summary>
            <updated>2026-01-15T07:47:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2708</id>
            <title type="text"><![CDATA[secure.py]]></title>
            <link rel="alternate" href="https://github.com/TypeError/secure" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2708"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Lightweight modern Python library to add security headers (CSP, HSTS, etc.) to Django, Flask, FastAPI, and more. Secure defaults or fully customizable.]]>
            </summary>
            <updated>2025-08-28T23:29:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2732</id>
            <title type="text"><![CDATA[Seed-Farmer]]></title>
            <link rel="alternate" href="https://seed-farmer.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2732"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Seed-Farmer is an orchestration tool that works with AWS CodeSeeder and acts as an orchestration tool modeled after GitOps deployments. It has a CommandLine Interface based in Python, leverages modular code deployments defined by declarative manifests, and includes change detection and deployment optimization. 

- [Seed-Farmer @ GitHub](https://github.com/awslabs/seed-farmer).]]>
            </summary>
            <updated>2025-08-28T23:31:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2773</id>
            <title type="text"><![CDATA[Cookiecutter]]></title>
            <link rel="alternate" href="https://cookiecutter.readthedocs.io/en/stable/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2773"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Better Project Templates.

Cookiecutter creates projects from cookiecutters (project templates), e.g. Python package projects from Python package templates.

- [Cookiecutter @ GitHub](https://github.com/cookiecutter/cookiecutter).
- [Gagnez du temps avec Cookiecutter ! @ DevSecOps :fr:](https://blog.stephane-robert.info/docs/outils/projets/cookiecutter/).]]>
            </summary>
            <updated>2025-08-28T23:38:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2778</id>
            <title type="text"><![CDATA[Leopards]]></title>
            <link rel="alternate" href="https://github.com/mkalioby/leopards" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2778"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Query your python lists.

Leopards is a way to query list of dictionaries or objects as if you are filtering in DBMS. You can get dicts/objects that are matched by OR, AND or NOT or all of them. As you can see in the comparison they are much faster than Pandas.]]>
            </summary>
            <updated>2025-08-28T23:39:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2779</id>
            <title type="text"><![CDATA[pipdeptree]]></title>
            <link rel="alternate" href="https://github.com/tox-dev/pipdeptree" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2779"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A command line utility to display dependency tree of the installed Python packages.

pipdeptree is a command line utility for displaying the installed python packages in form of a dependency tree. It works for packages installed globally on a machine as well as in a virtualenv. Since pip freeze shows all dependencies as a flat list, finding out which are the top level packages and which packages do they depend on requires some effort. It&amp;#039;s also tedious to resolve conflicting dependencies that could have been installed because older version of pip didn&amp;#039;t have true dependency resolution1. pipdeptree can help here by identifying conflicting dependencies installed in the environment.

- [Chained to Complexity: Python Dependency Management @ Dominick.com](https://dominickm.com/chained-to-complexity-python-dependency-management/).]]>
            </summary>
            <updated>2025-08-28T23:39:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2789</id>
            <title type="text"><![CDATA[AWS Cloud Development Kit (AWS CDK)]]></title>
            <link rel="alternate" href="https://aws.amazon.com/cdk/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2789"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Cloud Development Framework.

The AWS Cloud Development Kit (AWS CDK) is an open-source software development framework to define cloud infrastructure in code and provision it through AWS CloudFormation.

It offers a high-level object-oriented abstraction to define AWS resources imperatively using the power of modern programming languages. Using the CDK’s library of infrastructure constructs, you can easily encapsulate AWS best practices in your infrastructure definition and share it without worrying about boilerplate logic.

- [AWS Cloud Development Kit @ GitHub](https://github.com/aws/aws-cdk).]]>
            </summary>
            <updated>2025-08-28T23:41:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2814</id>
            <title type="text"><![CDATA[Chroma]]></title>
            <link rel="alternate" href="https://www.trychroma.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2814"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[the AI-native open-source embedding database.  The fastest way to build Python or JavaScript LLM apps with memory! 
Chroma is the open-source AI application database. Batteries included.

Embeddings, vector search, document storage, full-text search, metadata filtering, and multi-modal. All in one place. Retrieval that just works. As it should be.

- [Chroma @ GitHub](https://github.com/chroma-core/chroma).

Related contents:

- [ChromaDB: An Open-source vector embedding database @ Futuresmart AI Blog](https://blog.futuresmart.ai/chromadb-an-open-source-vector-embedding-database).
- [How to Build a Local RAG App with Ollama and ChromaDB in the R Programming Language @ freeCodeCamp](https://www.freecodecamp.org/news/build-a-local-rag-app-with-ollama-and-chromadb-in-r/).]]>
            </summary>
            <updated>2026-02-09T16:46:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2830</id>
            <title type="text"><![CDATA[BBOT]]></title>
            <link rel="alternate" href="https://www.blacklanternsecurity.com/bbot/Stable/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2830"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OSINT automation for hackers.
 A recursive internet scanner for hackers. 

BEE·bot is a multipurpose scanner inspired by Spiderfoot, built to automate your Recon, Bug Bounties, and ASM!

- [BBOT @ GitHub](https://github.com/blacklanternsecurity/bbot).]]>
            </summary>
            <updated>2025-08-28T23:49:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2842</id>
            <title type="text"><![CDATA[Autokitteh]]></title>
            <link rel="alternate" href="https://autokitteh.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2842"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Process Automation Solutions. Build Durable Workflows with Just a Few Lines of Code.

Developer first, open source, serverless workflow automation platform where you code the business logic and autokitteh takes care of the rest: API integration, scalability, reliability, durability, easy deployment, and monitoring.

- [Autokitteh @ GitHub](https://github.com/autokitteh/autokitteh).]]>
            </summary>
            <updated>2025-08-28T23:50:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2869</id>
            <title type="text"><![CDATA[ElectricEye]]></title>
            <link rel="alternate" href="https://github.com/jonrau1/ElectricEye" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2869"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[ElectricEye is a multi-cloud, multi-SaaS Python CLI tool for Asset Management, Security Posture Management &amp;amp; Attack Surface Monitoring supporting 100s of services and evaluations to harden your CSP &amp;amp; SaaS environments with controls mapped to over 20 industry, regulatory, and best practice controls frameworks]]>
            </summary>
            <updated>2025-08-28T23:54:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2874</id>
            <title type="text"><![CDATA[Panel Graphic Walker]]></title>
            <link rel="alternate" href="https://github.com/panel-extensions/panel-graphic-walker" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2874"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A project providing a Graphic Walker Pane for use with HoloViz Panel. 

A simple way to explore your data through a Tableau-like interface directly in your Panel data applications.

panel-graphic-walker brings the power of Graphic Walker to your data science workflow, seamlessly integrating interactive data exploration into notebooks and Panel applications. Effortlessly create dynamic visualizations, analyze datasets, and build dashboards—all within a Pythonic, intuitive interface.]]>
            </summary>
            <updated>2025-08-28T23:55:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2883</id>
            <title type="text"><![CDATA[Scrapling]]></title>
            <link rel="alternate" href="https://github.com/D4Vinci/Scrapling" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2883"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Undetectable, Lightning-Fast, and Adaptive Web Scraping for Python.

Dealing with failing web scrapers due to anti-bot protections or website changes? Meet Scrapling.

Scrapling is a high-performance, intelligent web scraping library for Python that automatically adapts to website changes while significantly outperforming popular alternatives. For both beginners and experts, Scrapling provides powerful features while maintaining simplicity.]]>
            </summary>
            <updated>2025-08-28T23:57:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2884</id>
            <title type="text"><![CDATA[PandasAI]]></title>
            <link rel="alternate" href="https://pandas-ai.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2884"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Conversational Data Analysis.

PandasAI is a Python platform that makes it easy to ask questions to your data in natural language. It helps non-technical users to interact with their data in a more natural way, and it helps technical users to save time, and effort when working with data.

PandasAI is a Python library that integrates generative artificial intelligence capabilities into pandas, making dataframes conversational.
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG. 

- [PandasAI @ GitHub](https://github.com/Sinaptik-AI/pandas-ai).]]>
            </summary>
            <updated>2025-08-28T23:57:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2900</id>
            <title type="text"><![CDATA[Chonkie]]></title>
            <link rel="alternate" href="https://github.com/bhavnicksm/chonkie" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2900"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library.
The no-nonsense RAG chunking library that&amp;#039;s lightweight, lightning-fast, and ready to CHONK your texts]]>
            </summary>
            <updated>2025-08-28T23:59:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2902</id>
            <title type="text"><![CDATA[🔒AcSecurity]]></title>
            <link rel="alternate" href="https://github.com/austincabler13/AcSecurity" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2902"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AcSecurity is a Python module designed to scan applications for common security vulnerabilities. It checks for hardcoded secrets, dependency vulnerabilities, and code quality issues.]]>
            </summary>
            <updated>2025-08-29T00:01:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2903</id>
            <title type="text"><![CDATA[safehttpx]]></title>
            <link rel="alternate" href="https://github.com/gradio-app/safehttpx" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2903"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A small Python library created to help developers protect their applications from Server Side Request Forgery (SSRF) attacks. It implements an asynchronous GET method called safehttpx.get(), which is a wrapper around httpx.AsyncClient.get() while performing DNS validation on the supplied URL using Google DNS.]]>
            </summary>
            <updated>2025-08-29T00:01:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2904</id>
            <title type="text"><![CDATA[Flask-Vault]]></title>
            <link rel="alternate" href="https://github.com/multiversecoder/Flask-Vault" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2904"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Flask-Vault is a robust library that empowers Flask applications to securely store and manage sensitive credentials. It provides a set of CLI commands for storing secrets using AES-GCM symmetric encryption, ensuring that vital information like API keys and database credentials remain protected. 

Flask-Vault provides several cli commands and Python functions to store secrets that you do not want to keep in the clear, using symmetric encryption with AES-GCM. These commands and functions allow you to safely read/write very important credentials such as API keys, database credentials, etc.]]>
            </summary>
            <updated>2025-08-29T00:01:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2919</id>
            <title type="text"><![CDATA[twyn]]></title>
            <link rel="alternate" href="https://github.com/elementsinteractive/twyn" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2919"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Security tool against dependency typosquatting attacks.

Twyn is a security tool that compares the name of your dependencies against a set of the most popular ones, in order to determine if there is any similarity between them, preventing you from using a potentially illegitimate one. In short, Twyn protects you against typosquatting attacks.]]>
            </summary>
            <updated>2025-08-29T00:02:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2938</id>
            <title type="text"><![CDATA[Crawlee for Python]]></title>
            <link rel="alternate" href="https://crawlee.dev/python/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2938"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build your Python web crawlers using Crawlee.
It helps you build reliable Python web crawlers. Fast.

 Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with BeautifulSoup, Playwright, and raw HTTP. Both headful and headless mode. With proxy rotation. 

- [Crawlee for Python @ GitHub](https://github.com/apify/crawlee-python).]]>
            </summary>
            <updated>2025-08-29T00:07:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2949</id>
            <title type="text"><![CDATA[Docling]]></title>
            <link rel="alternate" href="https://docling-project.github.io/docling/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2949"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Docling parses documents and exports them to the desired format with ease and speed.
🗂️ Reads popular document formats (PDF, DOCX, PPTX, Images, HTML, AsciiDoc, Markdown) and exports to Markdown and JSON.

- [Docling @ GitHub](https://github.com/docling-project/docling).

Related contents:

- [Docling - Pour convertir vos documents sans prise de tête @ Korben :fr:](https://korben.info/docling-convertisseur-documents-multi-formats.html).
- [Episode \#125: The state of homelab tech (2026) @ Changelog &amp;amp; Friends](https://changelog.com/friends/125).]]>
            </summary>
            <updated>2026-01-27T07:14:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2959</id>
            <title type="text"><![CDATA[TinyStatus]]></title>
            <link rel="alternate" href="https://github.com/harsxv/tinystatus" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2959"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Tiny status page generated by a Python script.

TinyStatus is a simple, customizable status page generator that allows you to monitor the status of various services and display them on a clean, responsive web page.]]>
            </summary>
            <updated>2025-08-29T00:10:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2960</id>
            <title type="text"><![CDATA[🌐 Browser-Use]]></title>
            <link rel="alternate" href="https://github.com/gregpr07/browser-use" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2960"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-Source Web Automation library with any LLM.

Let LLMs interact with websites through a simple interface.]]>
            </summary>
            <updated>2025-08-29T00:10:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2975</id>
            <title type="text"><![CDATA[Hertz-dev]]></title>
            <link rel="alternate" href="https://github.com/Standard-Intelligence/hertz-dev" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2975"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Hertz-dev is an open-source, first-of-its-kind base model for full-duplex conversational audio.]]>
            </summary>
            <updated>2025-08-29T00:12:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2978</id>
            <title type="text"><![CDATA[DataChain]]></title>
            <link rel="alternate" href="https://datachain.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2978"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Data Management at Scale - Curate, Enrich, and Version Datasets.

DataChain is a modern Pythonic data-frame library designed for artificial intelligence. It is made to organize your unstructured data into datasets and wrangle it at scale on your local machine. Datachain does not abstract or hide the AI models and API calls, but helps to integrate them into the postmodern data stack.

Datachain enables multimodal API calls and local AI inferences to run in parallel over many samples as chained operations. The resulting datasets can be saved, versioned, and sent directly to PyTorch and TensorFlow for training. Datachain can persist features of Python objects returned by AI models, and enables vectorized analytical operations over them.

- [DataChain @ GitHub](https://github.com/iterative/datachain).]]>
            </summary>
            <updated>2025-08-29T00:13:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3008</id>
            <title type="text"><![CDATA[SoFE]]></title>
            <link rel="alternate" href="https://github.com/chkpwd/sofe" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3008"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[SoFE performs two primary functions: it monitors non-filler episodes in Sonarr and generates Plex collections. 

SoFE (Sonarr Anime Filler Excluder) is a Python application that configures Sonarr to monitor only non-filler anime episodes sourced from Anime Filler List. It also creates separate Plex collections for non-filler and filler episodes, depending on the download status.]]>
            </summary>
            <updated>2025-08-29T00:18:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3046</id>
            <title type="text"><![CDATA[FastStream]]></title>
            <link rel="alternate" href="https://faststream.airt.ai/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3046"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source framework for building asynchronous web services that interact with event streams.

 FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis. 

- [FastStream @ GitHub](https://github.com/airtai/faststream).]]>
            </summary>
            <updated>2025-08-29T00:24:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3050</id>
            <title type="text"><![CDATA[Zerox OCR]]></title>
            <link rel="alternate" href="https://github.com/getomni-ai/zerox" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3050"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Zero shot pdf OCR with gpt-4o-mini.

A dead simple way of OCR-ing a document for AI ingestion. Documents are meant to be a visual representation after all. With weird layouts, tables, charts, etc. The vision models just make sense!]]>
            </summary>
            <updated>2025-08-29T00:24:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3053</id>
            <title type="text"><![CDATA[Shiny for Python]]></title>
            <link rel="alternate" href="https://shiny.posit.co/py/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3053"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Effortless Python web applications with the power of reactive programming. 

Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an afternoon. But unlike other frameworks targeted at data scientists, Shiny does not limit your app&amp;#039;s growth. Shiny remains extensible enough to power large, mission-critical applications.

- [Shiny for Python @ GitHub](https://github.com/posit-dev/py-shiny).]]>
            </summary>
            <updated>2025-08-29T00:25:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3054</id>
            <title type="text"><![CDATA[Taipy]]></title>
            <link rel="alternate" href="https://taipy.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3054"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build Python Data &amp;amp; AI web applications.
Turns Data and AI algorithms into production-ready web applications in no time. 

Taipy is designed for data scientists and machine learning engineers to build data &amp;amp; AI web applications.  

From simple pilots to production-ready web applications in no time. No more compromise on performance, customization, and scalability.

- [Taipy @ GitHub](https://github.com/Avaiga/taipy).]]>
            </summary>
            <updated>2025-08-29T00:25:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3064</id>
            <title type="text"><![CDATA[Outlines]]></title>
            <link rel="alternate" href="https://dottxt-ai.github.io/outlines/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3064"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Structured text generation and robust prompting for language models.

Outlines is a Python library that allows you to use Large Language Model in a simple and robust way (with structured generation). It is built by .txt, and is already used in production by many companies.

- [Outlines @ GitHub](https://github.com/dottxt-ai/outlines).

Related contents:

- [7 Lessons from building a small-scale AI application @ Richard Li](https://www.thelis.org/blog/lessons-from-ai).]]>
            </summary>
            <updated>2025-08-29T00:28:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3066</id>
            <title type="text"><![CDATA[Penelope]]></title>
            <link rel="alternate" href="https://github.com/brightio/penelope" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3066"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Penelope Shell Handler.

Penelope is a shell handler designed to be easy to use and intended to replace netcat when exploiting RCE vulnerabilities. It is compatible with Linux and macOS and requires Python 3.6 or higher. It is a standalone script that does not require any installation or external dependencies, and it is intended to remain this way.]]>
            </summary>
            <updated>2025-08-29T00:28:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3070</id>
            <title type="text"><![CDATA[Marly AI]]></title>
            <link rel="alternate" href="https://www.marly.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3070"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Data Processor for Agents.

Marly allows your agents to extract tables &amp;amp; text from your PDFs, Powerpoints, etc in a structured format making it easy for them to take subsequent actions (database call, API call, creating a chart etc).

- [Marly @ GitHub](https://github.com/marly-ai/marly).]]>
            </summary>
            <updated>2025-08-29T00:28:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3083</id>
            <title type="text"><![CDATA[ExecuTorch]]></title>
            <link rel="alternate" href="https://pytorch.org/executorch/stable/index.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3083"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[On-device AI across mobile, embedded and edge for PyTorch 

ExecuTorch is an end-to-end solution for enabling on-device inference capabilities across mobile and edge devices including wearables, embedded devices and microcontrollers. It is part of the PyTorch Edge ecosystem and enables efficient deployment of PyTorch models to edge devices.

- [ExecuTorch @ GitHub](https://github.com/pytorch/executorch).]]>
            </summary>
            <updated>2025-08-29T00:30:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3084</id>
            <title type="text"><![CDATA[OmniParser]]></title>
            <link rel="alternate" href="https://microsoft.github.io/OmniParser/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3084"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OmniParser is a comprehensive method for parsing user interface screenshots into structured and easy-to-understand elements, which significantly enhances the ability of GPT-4V to generate actions that can be accurately grounded in the corresponding regions of the interface.

- [OmniParser @ GitHub](https://github.com/microsoft/OmniParser).]]>
            </summary>
            <updated>2025-08-29T00:30:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3134</id>
            <title type="text"><![CDATA[vulncov]]></title>
            <link rel="alternate" href="https://github.com/mllamazares/vulncov/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3134"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🧪 Correlate Semgrep scans with Python test coverage to prioritize SAST findings and get bug fix suggestions via a self-hosted LLM.

vulncov correlates Semgrep scans with Python test code coverage to identify which vulnerable code has been executed by unit tests, helping prioritize SAST findings and reduce false positives. It also leverages a self-hosted LLM to suggest bug fixes!]]>
            </summary>
            <updated>2025-08-29T00:38:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3143</id>
            <title type="text"><![CDATA[CodEx : le code par les exercices :fr:]]></title>
            <link rel="alternate" href="https://codex.forge.apps.education.fr/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3143"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Ce site propose des exercices d&amp;#039;apprentissage de l&amp;#039;algorithmique et de la programmation par le biais d&amp;#039;exercices variés. Le langage utilisé est Python.

Les exercices proposés ont été écrits, testés, corrigés et améliorés par des professeurs d&amp;#039;informatique du secondaire et du supérieur.

Aucune installation, aucune inscription ne sont nécessaires : tous les programmes sont exécutés sur votre machine, tablette ou téléphone.]]>
            </summary>
            <updated>2025-08-29T00:40:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3159</id>
            <title type="text"><![CDATA[netmiko]]></title>
            <link rel="alternate" href="https://ktbyers.github.io/netmiko/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3159"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Multi-vendor library to simplify Paramiko SSH connections to network devices.

Network automation to screen-scraping devices is primarily concerned with gathering output from show commands and with making configuration changes.

Netmiko aims to accomplish both of these operations and to do it across a very broad set of platforms. It seeks to do this while abstracting away low-level state control (i.e. eliminate low-level regex pattern matching to the extent practical).

- [netmiko @ GitHub](https://github.com/ktbyers/netmiko/).]]>
            </summary>
            <updated>2025-08-29T00:42:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3164</id>
            <title type="text"><![CDATA[Meta Lingua]]></title>
            <link rel="alternate" href="https://github.com/facebookresearch/lingua" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3164"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs. 

Meta Lingua is a minimal and fast LLM training and inference library designed for research. Meta Lingua uses easy-to-modify PyTorch components in order to try new architectures, losses, data, etc. We aim for this code to enable end to end training, inference and evaluation as well as provide tools to better understand speed and stability. While Meta Lingua is currently under development, we provide you with multiple apps to showcase how to use this codebase.]]>
            </summary>
            <updated>2025-08-29T00:44:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3179</id>
            <title type="text"><![CDATA[TheAlgorithms/Python]]></title>
            <link rel="alternate" href="https://thealgorithms.github.io/Python/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3179"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[All Algorithms implemented in Python.

Implementations are for learning purposes only. They may be less efficient than the implementations in the Python standard library. Use them at your discretion.

- [TheAlgorithms/Python @ GitHub](https://github.com/TheAlgorithms/Python).]]>
            </summary>
            <updated>2025-08-29T00:46:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3201</id>
            <title type="text"><![CDATA[yt2doc]]></title>
            <link rel="alternate" href="https://github.com/shun-liang/yt2doc" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3201"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[YouTube, Apple Podcast (and more) to readable Markdown.

yt2doc transcribes videos &amp;amp; audios online into readable Markdown documents.

- [yt2doc - Pour transcrire vos vidéos en documents Markdown @ Korben :fr:](https://korben.info/yt2doc-transcription-video-en-markdown.html).]]>
            </summary>
            <updated>2025-08-29T00:49:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3212</id>
            <title type="text"><![CDATA[Evidently]]></title>
            <link rel="alternate" href="https://www.evidentlyai.com/evidently-oss" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3212"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-Source ML Monitoring and LLM Observability.

Open-source evaluation and observability for ML and LLM systems
Evaluate, test, and monitor AI-powered systems. From tabular data to LLMs. Built for data scientists, AI, and ML engineers.

- [Evidently @ GitHub](https://github.com/evidentlyai/evidently).]]>
            </summary>
            <updated>2025-08-29T00:52:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3234</id>
            <title type="text"><![CDATA[Tabled]]></title>
            <link rel="alternate" href="https://github.com/VikParuchuri/tabled" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3234"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Detect and extract tables to markdown and csv.

Tabled is a small library for detecting and extracting tables. It uses surya to find all the tables in a PDF, identifies the rows/columns, and formats cells into markdown, csv, or html.]]>
            </summary>
            <updated>2025-08-29T00:56:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3235</id>
            <title type="text"><![CDATA[Halberd]]></title>
            <link rel="alternate" href="https://www.vectra.ai/blog/halberd-the-open-source-tool-democratizing-multi-cloud-security-testing" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3235"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Open-Source Tool Democratizing Multi-Cloud Security Testing by Arpan Sarkar.

Multi-Cloud Security Testing Tool to execute a comprehensive array of attack techniques across multiple surfaces via a simple web interface. 

Halberd is a powerful, multi-cloud security testing tool. Born out of the need for a unified, easy-to-use tool, Halberd enables you to proactively assess your cloud defenses by executing a comprehensive array of attack techniques across Entra ID, M365, Azure, and AWS. With its intuitive web interface, you can simulate real-world attacks, generate valuable telemetry, and validate your security controls with ease &amp;amp; speed.

- [Halberd @ GitHub](https://github.com/vectra-ai-research/Halberd).]]>
            </summary>
            <updated>2025-08-29T00:56:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3236</id>
            <title type="text"><![CDATA[Gato]]></title>
            <link rel="alternate" href="https://github.com/praetorian-inc/gato" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3236"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Gato, or GitHub Attack Toolkit, is an enumeration and attack tool that allows both blue teamers and offensive security practitioners to identify and exploit pipeline vulnerabilities within a GitHub organization&amp;#039;s public and private repositories.]]>
            </summary>
            <updated>2025-08-29T00:56:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3239</id>
            <title type="text"><![CDATA[OmniParse]]></title>
            <link rel="alternate" href="https://docs.cognitivelab.in/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3239"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OmniParse is a platform that ingests/parses any unstructured data into structured, actionable data optimized for GenAI (LLM) applications. Whether working with documents, tables, images, videos, audio files, or web pages, OmniParse prepares your data to be clean, structured and ready for AI applications, such as RAG , fine-tuning and more.

- [OmniParse @ GitHub](https://github.com/adithya-s-k/omniparse).]]>
            </summary>
            <updated>2025-08-29T00:56:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3240</id>
            <title type="text"><![CDATA[exo]]></title>
            <link rel="alternate" href="https://github.com/exo-explore/exo" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3240"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚ 

Forget expensive NVIDIA GPUs, unify your existing devices into one powerful GPU: iPhone, iPad, Android, Mac, Linux, pretty much any device!

Related contents:

- [Exo - Pour créer un super cluster IA avec tous les appareils qui trainent chez vous @ Korben :fr:](https://korben.info/exo-cluster-ia-distribue-appareils-gpu.html).
- [I built an AI supercomputer with 5 Mac Studios @ NetworkChuck&amp;#039;s YouTube](https://www.youtube.com/watch?v=Ju0ndy2kwlw).]]>
            </summary>
            <updated>2026-01-15T07:43:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3257</id>
            <title type="text"><![CDATA[The JSON Web Token Toolkit]]></title>
            <link rel="alternate" href="https://github.com/ticarpi/jwt_tool" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3257"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🐍 A toolkit for testing, tweaking and cracking JSON Web Tokens 

- [Dans +80% des cas où je teste la sécurité d&amp;#039;API, je trouve des problèmes de droit ou d&amp;#039;autorisation. Alors voici 2 plugins Burpsuite à connaître 👇 @ Corentin M.&amp;#039;s LinkedIn :fr:](https://www.linkedin.com/posts/corentin-margraff_dans-80-des-cas-o%C3%B9-je-teste-la-s%C3%A9curit%C3%A9-activity-7251857443847073792-tMUS/).]]>
            </summary>
            <updated>2025-08-29T01:00:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3327</id>
            <title type="text"><![CDATA[NiceGUI]]></title>
            <link rel="alternate" href="https://nicegui.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3327"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Meet the NiceGUI. And let any browser be the frontend of your Python code.
Create web-based user interfaces with Python. The nice way. 

NiceGUI is an easy-to-use, Python-based UI framework, which shows up in your web browser. You can create buttons, dialogs, Markdown, 3D scenes, plots and much more.

- [NiceGUI @ GitHub](https://github.com/zauberzeug/nicegui).]]>
            </summary>
            <updated>2025-08-29T01:10:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3391</id>
            <title type="text"><![CDATA[PerCo]]></title>
            <link rel="alternate" href="https://github.com/Nikolai10/PerCo" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3391"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PyTorch implementation of PerCo (Towards Image Compression with Perfect Realism at Ultra-Low Bitrates, ICLR 2024)]]>
            </summary>
            <updated>2025-08-29T01:21:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3417</id>
            <title type="text"><![CDATA[PyRASP]]></title>
            <link rel="alternate" href="https://pyrasp.paracyberbellum.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3417"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Runtime Application Self Protection agent for Python applications and serverless functions. Relies on AI, syntax analysis, and underlying OS capabilities to seamlessly provides accurate protection from within, without updates.

PyRASP is a Runtime Application Self Protection package for Python-based Web Servers (Flask, FastAPI and Django) and Serverless Functions (AWS Lambda, Azure and Google Cloud Functions). 

- [PyRASP @ GitHub](https://github.com/rbidou/pyrasp).
- [Episode \#474 - Renaud Bidou – PyRASP @ NoLimitSecu :fr:](https://www.nolimitsecu.fr/renaud-bidou-pyrasp/).]]>
            </summary>
            <updated>2025-08-29T01:26:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3418</id>
            <title type="text"><![CDATA[AppSignal APM]]></title>
            <link rel="alternate" href="https://www.appsignal.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3418"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[APM for Ruby, Elixir, Node.js &amp;amp; Python. No-brainer monitoring for smart developers.
Application Monitoring for Ruby on Rails, Elixir, Node.js &amp;amp; Python.]]>
            </summary>
            <updated>2025-08-29T01:26:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3423</id>
            <title type="text"><![CDATA[Cuckoo3]]></title>
            <link rel="alternate" href="https://cuckoo-hatch.cert.ee/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3423"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Malware analysis tool.
Cuckoo3 is a Python 3 open source automated malware analysis system. 

Cuckoo3 is an open-source tool to test suspicious files or links in a controlled environment.
It will test them in a sandboxed platform emulator(s) and generate a report, showing what the files or websites did during the test.

- [Cuckoo3 @ GitHub](https://github.com/cert-ee/cuckoo3).]]>
            </summary>
            <updated>2025-08-29T01:27:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3426</id>
            <title type="text"><![CDATA[LlamaIndex]]></title>
            <link rel="alternate" href="https://www.llamaindex.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3426"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Data Framework for LLM Applications.

LlamaIndex (GPT Index) is a data framework for your LLM application. Building with LlamaIndex typically involves working with LlamaIndex core and a chosen set of integrations (or plugins). There are two ways to start building with LlamaIndex in Python:

- [LlamaIndex @ GitHub](https://github.com/run-llama/llama_index).

Related contents:

- [Tour d&amp;#039;horizon des frameworks pour créer des applications basées sur les LLM @ Data-Crafting.io :fr:](https://datacrafting.substack.com/p/tour-dhorizon-des-frameworks-pour).
- [7 Lessons from building a small-scale AI application @ Richard Li](https://www.thelis.org/blog/lessons-from-ai).
- [Production RAG: what I learned from processing 5M+ documents @ Abdellatif Abdelfattah](https://blog.abdellatif.io/production-rag-processing-5m-documents).]]>
            </summary>
            <updated>2025-10-21T11:49:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3427</id>
            <title type="text"><![CDATA[🦜️🔗 LangChain]]></title>
            <link rel="alternate" href="https://www.langchain.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3427"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The largest community building the future of LLM apps

LangChain’s flexible abstractions and AI-first toolkit make it the #1 choice for developers when building with GenAI.
Join 1M+ builders standardizing their LLM app development
in LangChain&amp;#039;s Python and JavaScript frameworks.

- [LangChain @ GitHub](https://github.com/langchain-ai).

Related contents:

- [\#307.src - Langchain: Faire de l&amp;#039;IA comme des Lego avec Maxime Thoonsen @ &amp;lt;ifttd&amp;gt;](https://www.ifttd.io/episodes/langchain).
- [Tour d&amp;#039;horizon des frameworks pour créer des applications basées sur les LLM @ Data-Crafting.io :fr:](https://datacrafting.substack.com/p/tour-dhorizon-des-frameworks-pour).
- [\#304.bin - Bilan 2024: Le début de la révolution avec Quentin Adam @ &amp;lt;ifttd&amp;gt;](https://www.ifttd.io/episodes/bilan-2024).
- [Construire son RAG (Retrieval Augmented Generation) grâce à langchain: L’exemple de l’Helpdesk d’OCTO @ OCTO talks :fr:](https://blog.octo.com/le-chatbot-docto-langchain-rag-et-code-associe).
- [CLI Chatbot with LangChain and OpenAI in Node.js @ rw;eruch](https://www.robinwieruch.de/langchain-node-js-openai/).
- [Meetup GenAI - Découverte de LangChain @ Flint&amp;#039;s YouTube :fr:](https://www.youtube.com/watch?v=0ImjWIo5fyM).
- [Agents 2.0: From Shallow Loops to Deep Agents @ PHILSCHMID](https://www.philschmid.de/agents-2.0-deep-agents).
- [Production RAG: what I learned from processing 5M+ documents @ Abdellatif Abdelfattah](https://blog.abdellatif.io/production-rag-processing-5m-documents).
- [Intégration de Google Drive avec langchain @ Octo talks! :fr:](https://blog.octo.com/integration-de-google-drive-avec-langchain).
- [Deux techniques pour ingérer des pages web pour le RAG : BeautifulSoup vs Docling @ lbke :fr:](https://links.biapy.com/links/3427/edit).
- [Créer un RAG avec LangChain en 5 étapes @ lbke :fr:](https://www.lbke.fr/formations/rag-introduction-langchain/rag-avec-langchain).
- [RAG Against The Machine @ Quoi de neuf les devs ? :fr:](https://happytodev.substack.com/p/quoi-de-neuf-les-devs-153-veille?open=false#%C2%A7rag-against-the-machine).
- [LangChain, LangGraph Flaws Expose Files, Secrets, Databases in Widely Used AI Frameworks @ The Hacker News](https://thehackernews.com/2026/03/langchain-langgraph-flaws-expose-files.html).]]>
            </summary>
            <updated>2026-03-30T18:57:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3488</id>
            <title type="text"><![CDATA[🤖 Claude Engineer]]></title>
            <link rel="alternate" href="https://github.com/Doriandarko/claude-engineer" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3488"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Claude Engineer is an advanced interactive command-line interface (CLI) that harnesses the power of Anthropic&amp;#039;s Claude 3 and Claude 3.5 models to assist with a wide range of software development tasks. This tool seamlessly combines the capabilities of state-of-the-art large language models with practical file system operations, web search functionality, intelligent code analysis, and execution capabilities.

- [Claude Engineer - L&amp;#039;IA qui crée ses propres outils @ Korben :fr:](https://korben.info/claude-engineer-ia-creation-outils-automatisation.html).]]>
            </summary>
            <updated>2025-08-29T01:38:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3564</id>
            <title type="text"><![CDATA[Spraykatz]]></title>
            <link rel="alternate" href="https://github.com/aas-n/spraykatz" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3564"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Credentials gathering tool automating remote procdump and parse of lsass process. 

Spraykatz is a tool without any pretention able to retrieve credentials on Windows machines and large Active Directory environments.

It simply tries to procdump machines and parse dumps remotely in order to avoid detections by antivirus softwares as much as possible.

- [Spraykatz, alat penguji Windows @ ZdanSec](https://zidansec.com/spraykatz-alat-penguji-windows).]]>
            </summary>
            <updated>2025-08-29T01:50:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3612</id>
            <title type="text"><![CDATA[SpiderFoot]]></title>
            <link rel="alternate" href="https://github.com/smicallef/spiderfoot" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3612"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[SpiderFoot automates OSINT for threat intelligence and mapping your attack surface. 

SpiderFoot is an open source intelligence (OSINT) automation tool. It integrates with just about every data source available and utilises a range of methods for data analysis, making that data easy to navigate.

SpiderFoot has an embedded web-server for providing a clean and intuitive web-based interface but can also be used completely via the command-line. It&amp;#039;s written in Python 3 and MIT-licensed.]]>
            </summary>
            <updated>2025-08-29T01:58:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3683</id>
            <title type="text"><![CDATA[ArcticDB]]></title>
            <link rel="alternate" href="https://arcticdb.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3683"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[ArcticDB is a  DataFrame Database.

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem. 
Built for the modern Python Data Science ecosystem, ArcticDB transforms your ability to handle complex real world data with Incredibly fast proven Petabyte scale.

- [ArticDB @ GitHub](https://github.com/man-group/ArcticDB).
- [La veille des Ours n°32 @ Bearstech&amp;#039;s LinkedIn :fr:](https://www.linkedin.com/pulse/la-veille-des-ours-n32-bearstech-adpzf/).]]>
            </summary>
            <updated>2025-08-29T02:10:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3702</id>
            <title type="text"><![CDATA[PyScript]]></title>
            <link rel="alternate" href="https://pyscript.net/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3702"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PyScript is an open source platform for Python in the browser. 

PyScript is a framework that allows users to create rich Python applications in the browser using HTML&amp;#039;s interface and the power of Pyodide, MicroPython and WASM, and modern web technologies.

- [PyScript @ GitHub](https://github.com/pyscript/pyscript).
- [La veille des Ours n°31 @ Bearstech&amp;#039;s LinkedIn :fr:](https://www.linkedin.com/pulse/la-veille-des-ours-n31-bearstech-gbmgf/).]]>
            </summary>
            <updated>2025-08-29T02:13:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3765</id>
            <title type="text"><![CDATA[OCRmyPDF]]></title>
            <link rel="alternate" href="https://ocrmypdf.readthedocs.io/en/latest/index.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3765"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OCRmyPDF adds an optical character recognition (OCR) text layer to scanned PDF files, allowing them to be searched.

- [OCRmyPDF @ GitHub](https://github.com/OCRmyPDF/OCRmyPDF/).]]>
            </summary>
            <updated>2025-08-29T02:25:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3766</id>
            <title type="text"><![CDATA[django-allauth]]></title>
            <link rel="alternate" href="https://allauth.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3766"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Integrated set of Django applications addressing authentication, registration, account management as well as 3rd party (social) account authentication. 
   
A free, secure, well integrated, reusable authentication solution for the Django framework, covering all functionality related to local and social user accounts, multi-factor authentication, in various configurations, with flows that just work.

- [django-allauth @ GitHub](https://github.com/pennersr/django-allauth).]]>
            </summary>
            <updated>2025-08-29T02:25:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3767</id>
            <title type="text"><![CDATA[Celery]]></title>
            <link rel="alternate" href="https://docs.celeryq.dev/en/stable/#" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3767"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Distributed Task Queue

Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system.

- [Celery @ GitHub](https://github.com/celery/celery).]]>
            </summary>
            <updated>2025-08-29T02:25:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3806</id>
            <title type="text"><![CDATA[oTranscribe]]></title>
            <link rel="alternate" href="https://otranscribe.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3806"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A free &amp;amp; open tool for transcribing audio interviews.

oTranscribe is a free web app designed to take the pain out of transcribing recorded interviews.

- [oTranscribe @ GitHub](https://github.com/oTranscribe/oTranscribe).]]>
            </summary>
            <updated>2025-08-29T02:30:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3808</id>
            <title type="text"><![CDATA[Deep Live Cam]]></title>
            <link rel="alternate" href="https://deeplive.cam/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3808"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Real-Time Face Swapping and One-Click Video Deepfake Tool. The Next Leap in Real-Time Face Swapping and Video Deepfake Technology.

Deep Live Cam harnesses cutting-edge AI to push the boundaries of real-time face swapping and video deepfakes.
Achieve high-quality face replacement with just a single image.

- [Deep Live Cam @ GitHub](https://github.com/hacksider/Deep-Live-Cam).]]>
            </summary>
            <updated>2025-09-08T08:15:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3822</id>
            <title type="text"><![CDATA[Kestra]]></title>
            <link rel="alternate" href="https://kestra.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3822"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Source Declarative Data Orchestration.  Event-Driven Declarative Orchestrator.

Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code. 

Kestra is a universal open-source orchestrator that makes both scheduled and event-driven workflows easy. By bringing Infrastructure as Code best practices to data, process, and microservice orchestration, you can build reliable workflows and manage them with confidence.

- [Kestra @ GitHub](https://github.com/kestra-io/kestra).

Related contents:

- [Flaky Tests: a journey to beat them all @ foojay.io](https://foojay.io/today/flaky-tests-a-journey-to-beat-them-all/).]]>
            </summary>
            <updated>2026-01-19T10:52:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3839</id>
            <title type="text"><![CDATA[DPULSE]]></title>
            <link rel="alternate" href="https://pypi.org/project/dpulse/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3839"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Domain Public Data Collection Service.

DPULSE is a software solution for conducting OSINT research in relation to a certain domain. 

- [DPULSE @ GitHub](https://github.com/OSINT-TECHNOLOGIES/dpulse).
- [ 🕵️‍♂️ DPULSE : Outil d&amp;#039;OSINT pour l&amp;#039;analyse de domaines 🌐 @ Maory Schroder&amp;#039;s LinkedIn :fr:](https://www.linkedin.com/posts/maory-schroder_osint-cybersaezcuritaez-pentest-activity-7227562302009491456-An6f/).]]>
            </summary>
            <updated>2025-08-29T02:37:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3845</id>
            <title type="text"><![CDATA[uv]]></title>
            <link rel="alternate" href="https://github.com/astral-sh/uv" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3845"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An extremely fast Python package installer and resolver, written in Rust.

- [`uv` documentation](https://docs.astral.sh/uv/).

Related contents:

- [Le Gestionnaire de dépendances UV @ DevSecOps :fr:](https://blog.stephane-robert.info/docs/developper/programmation/python/uv/).
- [Uv has a killer feature you should know about @ Lukas Valatka](https://valatka.dev/2025/01/12/on-killer-uv-feature.html).]]>
            </summary>
            <updated>2025-08-29T02:37:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3846</id>
            <title type="text"><![CDATA[pip-tools]]></title>
            <link rel="alternate" href="https://pip-tools.readthedocs.io/en/stable/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3846"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[pip-tools = pip-compile + pip-sync

A set of command line tools to help you keep your pip-based packages fresh, even when you’ve pinned them. You do pin them, right? (In building your Python application and its dependencies for production, you want to make sure that your builds are predictable and deterministic.)

- [pip-tools @ GitHub](https://github.com/jazzband/pip-tools).
- [Chained to Complexity: Python Dependency Management @ Dominick.com](https://dominickm.com/chained-to-complexity-python-dependency-management/).]]>
            </summary>
            <updated>2025-08-29T02:37:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3847</id>
            <title type="text"><![CDATA[PDM - Python Development Master]]></title>
            <link rel="alternate" href="https://daobook.github.io/pdm/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3847"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A modern Python package and dependency manager supporting the latest PEP standards.

PDM is a modern Python package manager with PEP 582 support. It installs and manages packages in a similar way to npm that doesn&amp;#039;t need to create a virtualenv at all!

- [PDM @ GitHub](https://github.com/pdm-project/pdm/).]]>
            </summary>
            <updated>2025-08-29T02:37:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3865</id>
            <title type="text"><![CDATA[pylyzer]]></title>
            <link rel="alternate" href="https://mtshiba.github.io/pylyzer/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3865"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[pylyzer is a static code analyzer / language server for Python, written in Rust.

- [pylyzer @ GitHub](https://github.com/mtshiba/pylyzer).
- [Pylyzer – Une analyse statique Python 100 fois plus rapide ! @ Korben :fr:](https://korben.info/pylyzer-analyse-statique-python-rust.html).]]>
            </summary>
            <updated>2025-08-29T02:41:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3902</id>
            <title type="text"><![CDATA[FastHTML]]></title>
            <link rel="alternate" href="https://fastht.ml/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3902"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The fastest way to create an HTML app.


Modern web applications in pure Python.
Built on solid web foundations, not the latest fads - with FastHTML you can get started on anything from simple dashboards to scalable web applications in minutes.

FastHTML is a new next-generation web framework for fast, scalable web applications with minimal, compact code.

- [FastHTML @ GitHub](https://github.com/AnswerDotAI/fasthtml).]]>
            </summary>
            <updated>2025-08-29T02:46:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3926</id>
            <title type="text"><![CDATA[CamSimulate]]></title>
            <link rel="alternate" href="https://github.com/MK-1407/CamSimulate" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3926"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Virtual Camera for Linux written in Python. 

CamSimulate is a python application which stream Videos from local file or from a URL to video devices of your device.

- [CamSimulate – Un simulateur de caméra pour les développeurs @ Korben :fr:](https://korben.info/camsimulate-simulateur-camera-open-source-developpeurs.html).]]>
            </summary>
            <updated>2025-08-29T02:50:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3947</id>
            <title type="text"><![CDATA[Astral]]></title>
            <link rel="alternate" href="https://astral.sh/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3947"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Next-gen Python tooling. Fast, unified, futuristic

Astral’s mission is to make the Python ecosystem more productive by building high-performance developer tools, starting with Ruff.

- [Astral @ GitHub](https://github.com/astral-sh/).
- [ruff @ GitHub](https://github.com/astral-sh/ruff).
- [uv @ GitHub](https://github.com/astral-sh/uv).
- [090 - Les news web dev pour juillet 2024 @ Double Slash](https://double-slash.dev/podcasts/news-jul-24/).]]>
            </summary>
            <updated>2025-08-29T02:54:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4029</id>
            <title type="text"><![CDATA[PostgresML]]></title>
            <link rel="alternate" href="https://postgresml.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4029"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Infra for RAG apps that work in prod.
You know Postgres. Now you know machine learning.

Index, filter &amp;amp; rank vectors. Create embeddings. Generate real-time, fact-based outputs.

Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top of Postgres with bindings for Python, JavaScript and Rust, Korvus delivers high-performance, customizable search capabilities with minimal infrastructure concerns.

- [Korvus @ GitHub](https://github.com/postgresml/korvus).]]>
            </summary>
            <updated>2025-08-29T03:07:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4086</id>
            <title type="text"><![CDATA[30 days of Python]]></title>
            <link rel="alternate" href="https://github.com/Asabeneh/30-Days-Of-Python" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4086"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

These videos may help too:

- [Washera Academy @ YouTube](https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw).]]>
            </summary>
            <updated>2025-08-29T03:18:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4090</id>
            <title type="text"><![CDATA[nmap-did-what]]></title>
            <link rel="alternate" href="https://github.com/hackertarget/nmap-did-what" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4090"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Nmap Dashboard Mini Project.

nmap-did-what is a Grafana docker container and a Python script to parse Nmap XML output to an SQLite database. The SQLite database is used as a datasource within Grafana to view the Nmap scan details in a dashboard.]]>
            </summary>
            <updated>2025-08-29T03:18:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4106</id>
            <title type="text"><![CDATA[QR Code Generator]]></title>
            <link rel="alternate" href="https://github.com/pjanczyk/qr-code-generator" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4106"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[qr-code-service is a microservice implemented in Python which uses qrcode library. It provides a gRPC interface for generating QR codes.

- [3 Self Hosted QR Code Generators from Simple to More Advanced @ Noted](https://noted.lol/qr-code-generators/).]]>
            </summary>
            <updated>2025-08-29T03:22:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4182</id>
            <title type="text"><![CDATA[Mesop]]></title>
            <link rel="alternate" href="https://google.github.io/mesop/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4182"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Quickly build web UIs in Python. Used at Google for rapid internal app development.

Mesop is a Python-based UI framework that allows you to rapidly build web apps like demos and internal apps.

- [Mesop @ GitHub](https://github.com/google/mesop).]]>
            </summary>
            <updated>2025-08-29T03:34:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4196</id>
            <title type="text"><![CDATA[marker]]></title>
            <link rel="alternate" href="https://www.datalab.to/marker" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4196"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Convert PDF to markdown quickly with high accuracy

- [marker @ GitHub](https://github.com/VikParuchuri/marker).]]>
            </summary>
            <updated>2025-08-29T03:36:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4218</id>
            <title type="text"><![CDATA[Hype²]]></title>
            <link rel="alternate" href="https://www.hype2.fr/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4218"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Qemu/LXC hypervisor in python.

- [Hype² @ GitHub](https://github.com/pyhype2/Hype2).]]>
            </summary>
            <updated>2025-08-29T03:40:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4285</id>
            <title type="text"><![CDATA[Pydantic Logfire]]></title>
            <link rel="alternate" href="https://docs.pydantic.dev/logfire/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4285"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Uncomplicated Observability for Python and beyond! 🪵🔥 .

Logfire is an observability platform built on the same belief as our open source library — that the most powerful tools can be easy to use.

- [Logfire @ GitHub](https://github.com/pydantic/logfire).]]>
            </summary>
            <updated>2025-08-29T03:51:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4289</id>
            <title type="text"><![CDATA[Seaborn]]></title>
            <link rel="alternate" href="https://seaborn.pydata.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4289"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[statistical data visualization.

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.

- [Seaborn @ GitHub](https://github.com/mwaskom/seaborn).
- [La veille des Ours n°31 @ Bearstech&amp;#039;s LinkedIn :fr:](https://www.linkedin.com/pulse/la-veille-des-ours-n31-bearstech-gbmgf/).]]>
            </summary>
            <updated>2025-08-29T03:51:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4312</id>
            <title type="text"><![CDATA[Psono]]></title>
            <link rel="alternate" href="https://psono.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4312"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Self Hosted and Open Source Password Manager for Companies.

- [PSONO Server - Password Manager @ GitLab](https://gitlab.com/psono/psono-server).]]>
            </summary>
            <updated>2025-08-29T03:55:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4329</id>
            <title type="text"><![CDATA[GestureX]]></title>
            <link rel="alternate" href="https://github.com/flying-pizza-69/GestureX" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4329"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[GestureX: Control Linux-based operating systems using hand gestures. Built using Mediapipe, OpenCV and PyGTK. 

GestureX enables you to control your Linux PC using hand gestures. You can assign specific commands or functionalities to different hand gestures, allowing for hands-free interaction with your computer.]]>
            </summary>
            <updated>2025-08-29T03:58:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4376</id>
            <title type="text"><![CDATA[AST Metrics]]></title>
            <link rel="alternate" href="https://halleck45.github.io/ast-metrics/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4376"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Understand. Improve. Code.

AST Metrics is a blazing-fast static code analyzer that works across programming languages.. It empowers you to gain deep insights into your code structure, identify potential problems early on, and improve code quality. Leveraging the efficiency of Go, AST Metrics delivers exceptional performance for large codebases.

- [AST Metrics @ GitHub](https://github.com/Halleck45/ast-metrics).

Related contents:

- [Parser du code PHP, sans dépendre de PHP @ Blog de
Jean-François Lépine :fr:](https://blog.lepine.pro/go-parser-php-sapi-embed-ast).]]>
            </summary>
            <updated>2025-09-29T15:27:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4406</id>
            <title type="text"><![CDATA[ldap2json]]></title>
            <link rel="alternate" href="https://github.com/p0dalirius/ldap2json" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4406"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The ldap2json script allows you to extract the whole LDAP content of a Windows domain into a JSON file.

- [Dumping your LDAP to a JSON file with ldap2json.py @ Podalirius&amp;#039; YouTube](https://www.youtube.com/watch?v=ct1ovt0hEAw).]]>
            </summary>
            <updated>2025-08-29T04:11:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4450</id>
            <title type="text"><![CDATA[libvips]]></title>
            <link rel="alternate" href="https://www.libvips.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4450"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[libvips is a demand-driven, horizontally threaded image processing library.

It implements around 300 operations covering arithmetic, histograms,
convolution, morphological operations, frequency filtering, color,
resampling, statistics, and others.

- [libvips @ GitHub](https://github.com/libvips/libvips).]]>
            </summary>
            <updated>2025-08-29T04:18:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4458</id>
            <title type="text"><![CDATA[MeloTTS]]></title>
            <link rel="alternate" href="https://github.com/myshell-ai/MeloTTS?tab=readme-ov-file" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4458"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[High-quality multi-lingual text-to-speech library by MyShell.ai. Support English, Spanish, French, Chinese, Japanese and Korean.]]>
            </summary>
            <updated>2025-08-29T04:19:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4492</id>
            <title type="text"><![CDATA[BRIA Background Removal v1.4 @ Hugging Face]]></title>
            <link rel="alternate" href="https://huggingface.co/briaai/RMBG-1.4" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4492"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[RMBG v1.4 is our state-of-the-art background removal model, designed to effectively separate foreground from background in a range of categories and image types. This model has been trained on a carefully selected dataset, which includes: general stock images, e-commerce, gaming, and advertising content, making it suitable for commercial use cases powering enterprise content creation at scale. The accuracy, efficiency, and versatility currently rival leading open source models. It is ideal where content safety, legally licensed datasets, and bias mitigation are paramount.

- [BRIA Background Removal v1.4 Model Card @ GitHub](https://github.com/chenxwh/cog-RMBG).
- [S4E10 - Quel destin pour l’Apple Vision Pro ? @ Underscore_&amp;#039;s Acast :fr:](https://shows.acast.com/micode-underscore/episodes/s4e10-quel-destin-pour-lapple-vision-pro).]]>
            </summary>
            <updated>2025-08-29T04:26:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4541</id>
            <title type="text"><![CDATA[Triton]]></title>
            <link rel="alternate" href="https://triton-lang.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4541"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Triton is a language and compiler for parallel programming. It aims to provide a Python-based programming environment for productively writing custom DNN compute kernels capable of running at maximal throughput on modern GPU hardware.

- [Triton @ GitHub](https://github.com/openai/triton).]]>
            </summary>
            <updated>2025-08-29T04:34:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4555</id>
            <title type="text"><![CDATA[Textual]]></title>
            <link rel="alternate" href="https://www.textualize.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4555"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser. 

- [Textual @ GitHub](https://github.com/Textualize/textual).]]>
            </summary>
            <updated>2025-08-29T04:35:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4573</id>
            <title type="text"><![CDATA[Rye]]></title>
            <link rel="alternate" href="https://rye-up.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4573"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[a Hassle-Free Python Experience.

Rye is a comprehensive project and package management solution for Python. Born from its creator&amp;#039;s desire to establish a one-stop-shop for all Python users, Rye provides a unified experience to install and manages Python installations, `pyproject.toml` based projects, dependencies and virtualenvs seamlessly. It&amp;#039;s designed to accommodate complex projects, monorepos and to facilitate global tool installations.

- [Rye @ GitHub](https://github.com/mitsuhiko/rye).]]>
            </summary>
            <updated>2025-08-29T04:38:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4579</id>
            <title type="text"><![CDATA[Melee]]></title>
            <link rel="alternate" href="https://github.com/adityaks/melee" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4579"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Tool to Detect Infections in MySQL Instances.

Attackers are abusing MySQL instances for conducting nefarious operations on the Internet. The cybercriminals are targeting exposed MySQL instances and triggering infections at scale to exfiltrate data, destruct data, and extort money via ransom. For example one of the significant threats MySQL deployments face is ransomware. We have authored a tool named &amp;quot;MELEE&amp;quot; to detect potential infections in MySQL instances. The tool allows security researchers, penetration testers, and threat intelligence experts to detect compromised and infected MySQL instances running malicious code. The tool also enables you to conduct efficient research in the field of malware targeting cloud databases. In this release of the tool, the following modules are supported:]]>
            </summary>
            <updated>2025-08-29T04:39:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4593</id>
            <title type="text"><![CDATA[Taipy]]></title>
            <link rel="alternate" href="https://www.taipy.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4593"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Turns Data and AI algorithms into production-ready web applications in no time.  Taipy is an open-source Python library for building production-ready front-end &amp;amp; back-end in no time.

Taipy is an open-source Python library for easy, end-to-end application development,
featuring what-if analyses, smart pipeline execution, built-in scheduling, and deployment tools. 

- [Taipy @ GitHub](https://github.com/Avaiga/taipy).
- [ Streamlit is getting outdated @ LinkedIn&amp;#039;s Python Developers Community](https://www.linkedin.com/feed/update/urn:li:activity:7158773041328508930).]]>
            </summary>
            <updated>2025-08-29T04:42:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4620</id>
            <title type="text"><![CDATA[Python Tutor]]></title>
            <link rel="alternate" href="https://pythontutor.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4620"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[visualize, debug, get AI help for Python, Java, C, C++, and JavaScript.

Python Tutor helps you do programming homework assignments in Python, Java, C, C++, and JavaScript. It contains a unique step-by-step visual debugger and AI tutor to help you understand and debug code.]]>
            </summary>
            <updated>2025-08-29T04:46:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4639</id>
            <title type="text"><![CDATA[DetectingCanaryTokens]]></title>
            <link rel="alternate" href="https://github.com/Lupovis/DetectingCanaryTokens" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4639"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Red Team Script to Detect Canary Tokens and Seed Files. How to Detect Canary and Seed Microsoft Office Files with Python Without Triggering an Alert.

In the realm of cybersecurity, vigilance is key. One way malicious actors might infiltrate systems is through seemingly innocuous Microsoft Office files. These files might contain hidden URLs or macros designed to execute harmful actions. In this blog post, we&amp;#039;ll explore a Python script designed to detect potentially suspicious Microsoft Office documents by examining their contents without opening them directly, reducing the risk of inadvertently triggering malicious code.]]>
            </summary>
            <updated>2025-08-29T04:50:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4651</id>
            <title type="text"><![CDATA[Cabot]]></title>
            <link rel="alternate" href="https://cabotapp.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4651"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[monitor and alert. Get alerted when services go down or metrics go crazy.
Self-hosted, easily-deployable monitoring and alerts service - like a lightweight PagerDuty 

Cabot is a free, open-source, self-hosted infrastructure monitoring platform that provides some of the best features of PagerDuty, Server Density, Pingdom and Nagios without their cost and complexity. (Nagios, I&amp;#039;m mainly looking at you.)

It provides a web interface that allows you to monitor services (e.g. &amp;quot;Stage Redis server&amp;quot;, &amp;quot;Production ElasticSearch cluster&amp;quot;) and send telephone, sms or hipchat/email alerts to your on-duty team if those services start misbehaving or go down - all without writing a line of code. Best of all, you can use data that you&amp;#039;re already pushing to Graphite/statsd to generate alerts, rather than implementing and maintaining a whole new system of data collectors.

- [Cabot @ GitHub](https://github.com/arachnys/cabot).]]>
            </summary>
            <updated>2025-08-29T04:51:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4671</id>
            <title type="text"><![CDATA[ScrapedIn]]></title>
            <link rel="alternate" href="https://github.com/dchrastil/ScrapedIn" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4671"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A tool to scrape LinkedIn without API restrictions for data reconnaissance.

This tool assists in performing reconnaissance using the LinkedIn.com website/API for red team or social engineering engagements. It performs a company specific search to extract a detailed list of employees who work for the target company. Enter the name of the target company and the tool will help determine the LinkedIn company ID, which will be used to perform the search.

- [🔗🤖 L&amp;#039;Intersection de l&amp;#039;ingénierie sociale et des outils de Scraping : découverte de ScrapedIn 🔍🌐 @ Serge Houtain&amp;#039;s LinkedIn :fr:](https://www.linkedin.com/posts/serge-houtain_github-dchrastilscrapedin-a-tool-to-scrape-activity-7139980953430450176-weIt/).]]>
            </summary>
            <updated>2025-08-29T04:54:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4682</id>
            <title type="text"><![CDATA[Pixi]]></title>
            <link rel="alternate" href="https://pixi.sh/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4682"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Pixi is a package management tool for developers. It allows the developer to install libraries and applications in a reproducible way. Use pixi cross-platform, on Windows, Mac and Linux.

- [Pixi @ prefix.dev](https://prefix.dev/).
- [Pixi @ GitHub](https://github.com/prefix-dev/pixi).

Related contents:

- [WASM + Conda: Revolutionizing Scientific Computing in the Browser @ Prefix.dev](https://prefix.dev/blog/pixi_wasm).
- [Pixi – Pour créer des environnements de dev aux petits oignons @ Korben :fr:](https://korben.info/pixi-creer-environnements-dev-optimises.html).]]>
            </summary>
            <updated>2025-10-23T07:23:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4688</id>
            <title type="text"><![CDATA[ssh-audit]]></title>
            <link rel="alternate" href="https://github.com/jtesta/ssh-audit" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4688"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[SSH server &amp;amp; client security auditing (banner, key exchange, encryption, mac, compression, compatibility, security, etc) 

Related contents:

- [Durcir la configuration SSH @ Culture et Outils DevSecOps :fr:](https://blog.stephane-robert.info/docs/securiser/durcissement/ssh/).
- [SSH-Audit - L&amp;#039;outil indispensable pour sécuriser vos serveurs SSH @ Korben :fr:](https://korben.info/ssh-audit-outil-indispensable-securiser-vos-serveurs.html).]]>
            </summary>
            <updated>2025-08-29T04:58:55+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4709</id>
            <title type="text"><![CDATA[RecoverPy]]></title>
            <link rel="alternate" href="https://github.com/PabloLec/recoverpy" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4709"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Interactively find and recover deleted or 👉 overwritten 👈 files from your terminal.

- [Récupérez vos fichiers perdus ou écrasés avec RecoverPy sur Linux @ Korben :fr:](https://korben.info/recuperer-fichiers-perdus-linux-recoverpy.html).]]>
            </summary>
            <updated>2025-08-29T05:02:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4710</id>
            <title type="text"><![CDATA[changeme]]></title>
            <link rel="alternate" href="https://github.com/ztgrace/changeme" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4710"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A default credential scanner.

changeme picks up where commercial scanners leave off. It focuses on detecting default and backdoor credentials and not necessarily common credentials. It&amp;#039;s default mode is to scan HTTP default credentials, but has support for other credentials.]]>
            </summary>
            <updated>2025-08-29T05:02:55+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4736</id>
            <title type="text"><![CDATA[HopToDesk]]></title>
            <link rel="alternate" href="https://www.hoptodesk.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4736"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[HopToDesk is an open-source remote desktop, and alternative to TeamViewer. 

- [HopToDesk @ GitLab](https://gitlab.com/hoptodesk/hoptodesk).
- [HopToDesk – Une solution gratuite de prise de contrôle d’ordinateur à distance @ Korben :fr:](https://korben.info/hoptodesk-solution-gratuite-bureau-distance-multiplateforme.html).]]>
            </summary>
            <updated>2025-08-29T05:06:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4753</id>
            <title type="text"><![CDATA[PolarDNS]]></title>
            <link rel="alternate" href="https://github.com/oryxlabs/PolarDNS" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4753"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PolarDNS is a specialized authoritative DNS server suitable for penetration testing and vulnerability research. 

PolarDNS is a specialized authoritative DNS server written in Python 3.x, which allows the operator to produce fully custom DNS responses, suitable for DNS protocol testing purposes.

- [PolarDNS: Open-source DNS server tailored for security evaluations @ Help Net Security](https://www.helpnetsecurity.com/2023/11/21/polardns-open-source-dns-server/).
- [PolarDNS – A Free DNS Server For Vulnerability Research &amp;amp; Pentesting @ Cyber Security News](https://cybersecuritynews.com/polardns-a-free-dns-server/).]]>
            </summary>
            <updated>2025-08-29T05:08:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4770</id>
            <title type="text"><![CDATA[pyATS]]></title>
            <link rel="alternate" href="https://developer.cisco.com/pyats/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4770"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Accelerating your DevOps with pyATS &amp;amp; Genie.

pyATS is an end-to-end DevOps automation ecosystem. Agnostic by design, pyATS enable network engineers to automate their day-to-day DevOps activities, perform stateful validation of their device operational status, build a safety-net of scalable, data-driven and reusable tests around their network, and visualize everything in a modern, easy to use dashboard.

- [pyats @ Python Package Index](https://pypi.org/project/pyats/).
- [Networking: How Useful is pyATS in NetDevOps?  @ HackerNoon](https://hackernoon.com/networking-how-useful-is-pyats-in-netdevops).]]>
            </summary>
            <updated>2025-08-29T05:11:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4771</id>
            <title type="text"><![CDATA[Typer]]></title>
            <link rel="alternate" href="https://typer.tiangolo.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4771"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Typer, build great CLIs. Easy to code. Based on Python type hints. 

Typer is a library for building CLI applications that users will love using and developers will love creating. Based on Python 3.6+ type hints.

- [Typer @ GitHub](https://github.com/tiangolo/typer).]]>
            </summary>
            <updated>2025-08-29T05:11:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4775</id>
            <title type="text"><![CDATA[Fabric]]></title>
            <link rel="alternate" href="https://www.fabfile.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4775"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Simple, Pythonic remote execution and deployment. 

Fabric is a high level Python (2.7, 3.4+) library designed to execute shell commands remotely over SSH, yielding useful Python objects in return. It builds on top of Invoke (subprocess command execution and command-line features) and Paramiko (SSH protocol implementation), extending their APIs to complement one another and provide additional functionality.

- [Fabric @ GitHub](https://github.com/fabric/fabric).

Related contents:

- [Fabric – Automate Linux Command Execution and Deployment Over SSH @ TecMint](https://www.tecmint.com/automating-linux-system-administration-tasks/).
- [Automatiser l’administration SSH avec Fabric @ DevSecOps :fr:](https://blog.stephane-robert.info/docs/developper/programmation/python/fabric/).]]>
            </summary>
            <updated>2025-08-29T05:12:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4786</id>
            <title type="text"><![CDATA[Doctor Dignity]]></title>
            <link rel="alternate" href="https://github.com/llSourcell/Doctor-Dignity/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4786"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Doctor Dignity is an LLM that can pass the US Medical Licensing Exam. It works offline, it&amp;#039;s cross-platform, &amp;amp; your health data stays private. 

- [Doctor Dignity – L’IA médicale open-source @ Korben :fr:](https://korben.info/doctor-dignity-intelligence-artificielle-medecine-open-source.html).]]>
            </summary>
            <updated>2025-08-29T05:15:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4830</id>
            <title type="text"><![CDATA[HookPhish]]></title>
            <link rel="alternate" href="https://github.com/0liverFlow/HookPhish" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4830"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[HookPhish is a Python script designed to aid in the detection of phishing websites.
It performs various checks on suspected URLs to identify potential threats.]]>
            </summary>
            <updated>2025-08-29T05:23:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4854</id>
            <title type="text"><![CDATA[roop]]></title>
            <link rel="alternate" href="https://github.com/s0md3v/roop" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4854"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[one-click face swap 

Take a video and replace the face in it with a face of your choice. You only need one image of the desired face. No dataset, no training.

- [Créez des deepfakes faciles avec une simple image ! @ Korben (fr)](https://korben.info/projet-roop-deepfakes-simplifies-ia-visage-remplacement-video.html).]]>
            </summary>
            <updated>2025-08-29T05:27:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4877</id>
            <title type="text"><![CDATA[The Grand Complete Data Science Guide With Videos And Materials]]></title>
            <link rel="alternate" href="https://github.com/krishnaik06/The-Grand-Complete-Data-Science-Materials" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4877"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Contribute to krishnaik06/The-Grand-Complete-Data-Science-Materials development by creating an account on GitHub.]]>
            </summary>
            <updated>2025-08-29T05:31:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4878</id>
            <title type="text"><![CDATA[Textual]]></title>
            <link rel="alternate" href="https://textual.textualize.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4878"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Textual is a Rapid Application Development framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and (coming soon) a web browser! 

[Textual @ GitHub](https://github.com/textualize/textual/).]]>
            </summary>
            <updated>2025-08-29T05:31:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4893</id>
            <title type="text"><![CDATA[Massive Mobile Security Framework - MMSF]]></title>
            <link rel="alternate" href="https://github.com/St3v3nsS/MMSF" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4893"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Massive Mobile Security Framework or MMSF is a mobile framework that combines functionalities from frida, objection, drozer and many more.]]>
            </summary>
            <updated>2025-08-29T05:32:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4908</id>
            <title type="text"><![CDATA[ADCSKiller]]></title>
            <link rel="alternate" href="https://github.com/grimlockx/ADCSKiller" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4908"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An ADCS Exploitation Automation Tool Weaponizing Certipy and Coercer.

ADCSKiller is a Python-based tool designed to automate the process of discovering and exploiting Active Directory Certificate Services (ADCS) vulnerabilities. It leverages features of Certipy and Coercer to simplify the process of attacking ADCS infrastructure. Please note that the ADCSKiller is currently in its first drafts and will undergo further refinements and additions in future updates for sure.]]>
            </summary>
            <updated>2025-08-29T05:35:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4959</id>
            <title type="text"><![CDATA[Folium]]></title>
            <link rel="alternate" href="https://python-visualization.github.io/folium/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4959"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the Leaflet.js library. Manipulate your data in Python, then visualize it in a Leaflet map via Folium.

[Folium @ GitHub](https://github.com/python-visualization/folium)]]>
            </summary>
            <updated>2025-08-29T05:43:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4962</id>
            <title type="text"><![CDATA[🙏 Please CLI]]></title>
            <link rel="alternate" href="https://github.com/NayamAmarshe/please" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4962"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Minimalistic New Tab Page CLI Tool with a greeting, date and time, inspirational quotes and your personal tasks and to-do list]]>
            </summary>
            <updated>2025-08-29T05:44:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5002</id>
            <title type="text"><![CDATA[rico]]></title>
            <link rel="alternate" href="https://github.com/e10v/rico" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5002"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[rico is a Python package for creating HTML documents from rich content: dataframes, plots, images, markdown etc. It provides a high-level, easy-to-use API with reasonable defaults, as well as low-level access for better control.]]>
            </summary>
            <updated>2025-08-29T05:51:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5013</id>
            <title type="text"><![CDATA[LIDA]]></title>
            <link rel="alternate" href="https://microsoft.github.io/lida/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5013"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Automatic Generation of Visualizations and Infographics with LLMs.

LIDA is a library for generating data visualizations and data-faithful infographics. LIDA is grammar agnostic (will work with any programming language and visualization libraries e.g. matplotlib, seaborn, altair, d3 etc) and works with multiple large language model providers (OpenAI, PaLM, Cohere, Huggingface). Details on the components of LIDA are described in the paper here and in this tutorial notebook. See the project page here for updates!.

[LIDA @ GitHub](https://github.com/microsoft/lida).]]>
            </summary>
            <updated>2025-08-29T05:52:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5014</id>
            <title type="text"><![CDATA[AMAnDe]]></title>
            <link rel="alternate" href="https://github.com/StackeredSAS/AMAnDe" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5014"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Extract, gather and analyze information from an Android Manifest file or an APK.

AMAnDe stands for Android Manifest Anomaly Detector. It&amp;#039;s a new tool whose objective is to extract and gather information from an Android Manifest. When we deal with huge Manifests, it is often difficult to get all relevant datas (like deeplink URIs, exported provider, etc.) With AMAnDe all of this information is deeply analyzed and presented to you in a simple manner.]]>
            </summary>
            <updated>2025-08-29T05:52:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5028</id>
            <title type="text"><![CDATA[Advanced Python Mastery (course by @dabeaz)]]></title>
            <link rel="alternate" href="https://github.com/dabeaz-course/python-mastery" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5028"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the Python Cookbook, 3rd Edition (O&amp;#039;Reilly) and Python Distilled (Addison-Wesley). Released under a Creative Commons license. Free of ads, tracking, pop-ups, newsletters, and AI.]]>
            </summary>
            <updated>2025-08-29T05:55:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5088</id>
            <title type="text"><![CDATA[LFI-Space Tool]]></title>
            <link rel="alternate" href="https://github.com/capture0x/Lfi-Space" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5088"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Lfi Scan Tool.

LFI Space is a robust and efficient tool designed to detect Local File Inclusion (LFI) vulnerabilities in web applications. This tool simplifies the process of identifying potential security flaws by leveraging two distinct scanning methods: Google Dork Search and Targeted URL Scan. With its comprehensive approach, LFI Space assists security professionals, penetration testers, and ethical hackers in assessing the security posture of web applications.]]>
            </summary>
            <updated>2025-08-29T06:05:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5106</id>
            <title type="text"><![CDATA[Pyrus2D]]></title>
            <link rel="alternate" href="https://github.com/Cyrus2D/Pyrus2D" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5106"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PYRUS2D is the first Python base code (sample team) for RoboCup Soccer 2D Simulator. This project is implemented by members of CYRUS soccer simulation 2D team. By using this project, a team includes 11 players and one coach can connect to RoboCup Soccer Server and play a game. Also, researchers can use the trainer to control the server for training proposes.]]>
            </summary>
            <updated>2025-08-29T06:07:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5139</id>
            <title type="text"><![CDATA[PyVISA]]></title>
            <link rel="alternate" href="https://pyvisa.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5139"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Control your instruments with Python.

PyVISA is a Python package that enables you to control all kinds of measurement devices 
independently of the interface (e.g. GPIB, RS232, USB, Ethernet).]]>
            </summary>
            <updated>2025-08-29T06:13:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5191</id>
            <title type="text"><![CDATA[face_recognition]]></title>
            <link rel="alternate" href="https://github.com/ageitgey/face_recognition" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5191"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The world&amp;#039;s simplest facial recognition api for Python and the command line.

Recognize and manipulate faces from Python or from the command line with the world&amp;#039;s simplest face recognition library.]]>
            </summary>
            <updated>2025-08-29T06:23:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5247</id>
            <title type="text"><![CDATA[PowerLessShell]]></title>
            <link rel="alternate" href="https://github.com/Mr-Un1k0d3r/PowerLessShell" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5247"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PowerLessShell rely on MSBuild.exe to remotely execute PowerShell scripts and commands without spawning powershell.exe. You can also execute raw shellcode using the same approach.]]>
            </summary>
            <updated>2025-08-29T06:31:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5248</id>
            <title type="text"><![CDATA[Extism]]></title>
            <link rel="alternate" href="https://extism.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5248"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Universal Plug-in System. make all software programmable. Extend from within. Extend anything with WebAssembly (wasm).

Run WebAssembly extensions inside your app. Use idiomatic Host SDKs for Go, Ruby, Python, Node, Rust, C, C++, OCaml, Haskell, PHP, Elixir/Erlang, .NET, Java, Zig &amp;amp; more (others coming soon).

[Extism @ GitHub](https://github.com/extism/extism).]]>
            </summary>
            <updated>2025-08-29T06:31:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5285</id>
            <title type="text"><![CDATA[Paperless-ngx]]></title>
            <link rel="alternate" href="https://docs.paperless-ngx.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5285"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Paperless-ngx is a document management system that transforms your physical documents into a searchable online archive so you can keep, well, less paper.

- [Paperless-ngx @ GitHub](https://github.com/paperless-ngx/paperless-ngx)

Related contents:

- [Paperless-ngx — Self-hosted document management that actually makes sense @ Akash Rajpurohit](https://akashrajpurohit.com/blog/selfhost-paperless-ngx-for-document-management/).
- [Paperless-ngx + Local AI (Optional): Better OCR, Self-Hosted, No Cloud @ Techno Tim](https://www.youtube.com/watch?v=NMAwHjleqHg).]]>
            </summary>
            <updated>2026-01-30T13:35:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5288</id>
            <title type="text"><![CDATA[LideCLI - Linux Desktop CLI]]></title>
            <link rel="alternate" href="https://lidecli.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5288"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Linux Desktop CLI (Lidecli) is an unified command-line tool to interact with X, Wayland, Window Managers and Desktop Environments. The goal of Lidecli is to provide a library of commands to interact with the DE/WM you use. 

[LideCLI @ GitHub](https://github.com/juienpro/lidecli).]]>
            </summary>
            <updated>2025-08-29T06:39:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5302</id>
            <title type="text"><![CDATA[Calibre-Web]]></title>
            <link rel="alternate" href="https://github.com/janeczku/calibre-web" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5302"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[:books: Web app for browsing, reading and downloading eBooks stored in a Calibre database.

Related contents:

- [Ebooks auto-hébergés - La jungle des outils pour lire librement @ Korben :fr:](https://korben.info/gestion-ebooks-self-hosted.html).]]>
            </summary>
            <updated>2026-03-23T16:51:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5316</id>
            <title type="text"><![CDATA[Isso]]></title>
            <link rel="alternate" href="https://isso-comments.de/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5316"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[a commenting server similar to Disqus.

Isso – Ich schrei sonst – is a lightweight commenting server written in Python and JavaScript. It aims to be a drop-in replacement for Disqus.

[Isso @ GitHub](https://github.com/posativ/isso/).]]>
            </summary>
            <updated>2025-08-29T06:43:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5328</id>
            <title type="text"><![CDATA[npm-manifest-check]]></title>
            <link rel="alternate" href="https://github.com/panki27/npm-manifest-check" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5328"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Check NPM packages for manifest confusion.

A python script to check npm packages for manifest mismatches.]]>
            </summary>
            <updated>2025-08-29T06:44:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5331</id>
            <title type="text"><![CDATA[SpiderLabs Snappy]]></title>
            <link rel="alternate" href="https://github.com/SpiderLabs/snappy" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5331"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[(Snap)shot SHA256 hashes of wireless access points to determine whether something has changed since your last visit (e.g. rogue AP), plus detect airbase-ng in use.]]>
            </summary>
            <updated>2025-08-29T06:45:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5339</id>
            <title type="text"><![CDATA[Newspipe]]></title>
            <link rel="alternate" href="https://sr.ht/~cedric/newspipe/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5339"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Newspipe is a web news aggregator.]]>
            </summary>
            <updated>2025-08-29T06:47:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5367</id>
            <title type="text"><![CDATA[blag]]></title>
            <link rel="alternate" href="https://blag.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5367"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[blag is a blog-aware, static site generator, written in Python.

[Blag @ GitHub](https://github.com/venthur/blag).]]>
            </summary>
            <updated>2025-08-29T06:51:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5375</id>
            <title type="text"><![CDATA[pyrdp]]></title>
            <link rel="alternate" href="https://github.com/GoSecure/pyrdp" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5375"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[RDP monster-in-the-middle (mitm) and library for Python with the ability to watch connections live or after the fact.
PyRDP is a Python Remote Desktop Protocol (RDP) Monster-in-the-Middle (MITM) tool and library.]]>
            </summary>
            <updated>2025-08-29T06:52:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5394</id>
            <title type="text"><![CDATA[Polymath]]></title>
            <link rel="alternate" href="https://github.com/samim23/polymath" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5394"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Convert any music library into a music production sample-library with ML.

Polymath uses machine learning to convert any music library (e.g from Hard-Drive or YouTube) into a music production sample-library. The tool automatically separates songs into stems (beats, bass, etc.), quantizes them to the same tempo and beat-grid (e.g. 120bpm), analyzes musical structure (e.g. verse, chorus, etc.), key (e.g C4, E3, etc.) and other infos (timbre, loudness, etc.), and converts audio to midi. The result is a searchable sample library that streamlines the workflow for music producers, DJs, and ML audio developers.]]>
            </summary>
            <updated>2025-08-29T06:56:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5399</id>
            <title type="text"><![CDATA[Trafilatura]]></title>
            <link rel="alternate" href="https://trafilatura.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5399"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Python package &amp;amp; command-line tool to gather text on the Web.

Trafilatura is a Python package and command-line tool designed to gather text on the Web. It includes discovery, extraction and text processing components. Its main applications are web crawling, downloads, scraping, and extraction of main texts, metadata and comments. It aims at staying handy and modular: no database is required, the output can be converted to various commonly used formats.

- [Trafilatura @ GitHub](https://github.com/adbar/trafilatura).

Related contents:

- [Alimenter les RAG/LLM avec Trafilatura @ DevSecOps :fr:](https://blog.stephane-robert.info/docs/developper/programmation/python/trafilatura/).]]>
            </summary>
            <updated>2025-08-29T06:56:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5419</id>
            <title type="text"><![CDATA[Home | nodezator.com]]></title>
            <link rel="alternate" href="https://nodezator.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5419"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Nodezator is a multi-purpose node editor for the Python programming language. It takes your functions and turns them into Python nodes, allowing you to create and execute complex node layouts and even export them back as Python code.

Nodezator enables node-based programming with Python and allows its integration with regular text-based programming in Python, by letting users export their node layouts as plain Python code. This means your workflow is never overly dependent on the app itself. We guarantee your freedom!

[Nodezator @ GitHub](https://github.com/IndiePython/nodezator).]]>
            </summary>
            <updated>2025-08-29T06:59:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5430</id>
            <title type="text"><![CDATA[rss2masto]]></title>
            <link rel="alternate" href="https://github.com/leoncowle/rss2masto" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5430"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Simple RSS-to-Mastodon autoposter.

A really simple script [rss :-)] to scrape RSS feeds and post them into a Mastodon account]]>
            </summary>
            <updated>2025-08-29T07:01:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5434</id>
            <title type="text"><![CDATA[Code. Simply. Clearly. Calmly.]]></title>
            <link rel="alternate" href="https://calmcode.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5434"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Video tutorials for modern ideas and open source tools.

We currently host 652 short videos in 87 courses. New content is announced via a newsletter.]]>
            </summary>
            <updated>2025-08-29T07:03:55+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5440</id>
            <title type="text"><![CDATA[ImageBind]]></title>
            <link rel="alternate" href="https://github.com/facebookresearch/ImageBind" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5440"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[ImageBind One Embedding Space to Bind Them All.

PyTorch implementation and pretrained models for ImageBind. For details, see the paper: ImageBind: One Embedding Space To Bind Them All.

ImageBind learns a joint embedding across six different modalities - images, text, audio, depth, thermal, and IMU data. It enables novel emergent applications ‘out-of-the-box’ including cross-modal retrieval, composing modalities with arithmetic, cross-modal detection and generation.]]>
            </summary>
            <updated>2025-08-29T07:03:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5445</id>
            <title type="text"><![CDATA[APT-Hunter]]></title>
            <link rel="alternate" href="https://github.com/ahmedkhlief/APT-Hunter" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5445"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[APT-Hunter is Threat Hunting tool for windows event logs which made by purple team mindset to detect APT movements hidden in the sea of windows event logs to decrease the time to uncover suspicious activity . APT-Hunter use pre-defined detection rules and focus on statistics to uncover abnormalities which is very effective in compromise assessment . the output produced with timeline that can be analyzed directly from Excel , Timeline Explorer , Timesketch , etc...]]>
            </summary>
            <updated>2025-08-29T07:04:55+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5474</id>
            <title type="text"><![CDATA[howdoi]]></title>
            <link rel="alternate" href="https://github.com/gleitz/howdoi" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5474"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Instant coding answers via the command line]]>
            </summary>
            <updated>2025-08-29T07:08:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5476</id>
            <title type="text"><![CDATA[Apache Superset]]></title>
            <link rel="alternate" href="https://superset.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5476"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.

- [Superset @ GitHub](https://github.com/apache/superset)]]>
            </summary>
            <updated>2025-09-19T12:23:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5503</id>
            <title type="text"><![CDATA[Graphic Walker]]></title>
            <link rel="alternate" href="https://github.com/Kanaries/graphic-walker" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5503"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open source alternative to Tableau. Easily embedded as a component in web apps.

Graphic Walker is a different type of open-source alternative to Tableau. It allows data scientists to analyze data and visualize patterns with simple drag-and-drop operations.]]>
            </summary>
            <updated>2025-08-29T07:14:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5504</id>
            <title type="text"><![CDATA[PyGWalker]]></title>
            <link rel="alternate" href="https://github.com/Kanaries/pygwalker" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5504"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Turn your pandas dataframe into a Tableau-style User Interface for visual analysis.

PyGWalker: A Python Library for Exploratory Data Analysis with Visualization]]>
            </summary>
            <updated>2025-08-29T07:14:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5518</id>
            <title type="text"><![CDATA[Buck2]]></title>
            <link rel="alternate" href="https://buck2.build/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5518"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A large-scale build tool. The successor to Buck. Ready for users ∈ {C++, Python, Rust, Erlang, OCaml}.

Buck2, a large scale, fast, reliable, and extensible build tool developed and used by Meta. Buck2 supports a variety of languages on many platforms.

[Buck2 @ GitHub](https://github.com/facebook/buck2).]]>
            </summary>
            <updated>2025-08-29T07:17:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5519</id>
            <title type="text"><![CDATA[The Meson Build system]]></title>
            <link rel="alternate" href="https://mesonbuild.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5519"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Meson is an open source build system meant to be both extremely fast, and, even more importantly, as user friendly as possible.

The main design point of Meson is that every moment a developer spends writing or debugging build definitions is a second wasted. So is every second spent waiting for the build system to actually start compiling code.

[Meson @ GitHub](https://github.com/mesonbuild/meson).]]>
            </summary>
            <updated>2025-08-29T07:17:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5559</id>
            <title type="text"><![CDATA[Rembg]]></title>
            <link rel="alternate" href="https://github.com/danielgatis/rembg" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5559"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Rembg is a tool to remove images background.]]>
            </summary>
            <updated>2025-08-29T07:24:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5569</id>
            <title type="text"><![CDATA[Authy-export]]></title>
            <link rel="alternate" href="https://github.com/Korben00/authy-export" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5569"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[This application is designed to extract TOTP (Time-based One-Time Password) information from Authy by launching Authy in debug mode and using the Chrome DevTools API to communicate with the browser. It then runs a JavaScript script to decrypt and extract the TOTP information, which can be saved to a file or displayed to the user. This can be useful for those who want to migrate their TOTP information from Authy to another service, or simply want to access and view their TOTP information in an easier way.]]>
            </summary>
            <updated>2025-08-29T07:25:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5591</id>
            <title type="text"><![CDATA[Matchering]]></title>
            <link rel="alternate" href="https://github.com/sergree/matchering" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5591"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🎚️ Open Source Audio Matching and Mastering. Matchering 2.0 is a novel Containerized Web Application and Python Library for audio matching and mastering.

It follows a simple idea - you take TWO audio files and feed them into Matchering. Our algorithm matches both of these tracks and provides you the mastered TARGET track with the same RMS, FR, peak amplitude and stereo width as the REFERENCE track has.]]>
            </summary>
            <updated>2025-08-29T07:29:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5594</id>
            <title type="text"><![CDATA[OverAPI.com]]></title>
            <link rel="alternate" href="https://overapi.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5594"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Collecting all the cheat sheets]]>
            </summary>
            <updated>2025-08-29T07:29:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5613</id>
            <title type="text"><![CDATA[Graphite]]></title>
            <link rel="alternate" href="https://graphiteapp.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5613"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Graphite make it easy to store and graph metrics.

Graphite is an enterprise-ready monitoring tool that runs equally well on cheap hardware or Cloud infrastructure. Teams use Graphite to track the performance of their websites, applications, business services, and networked servers. It marked the start of a new generation of monitoring tools, making it easier than ever to store, retrieve, share, and visualize time-series data.

[Graphite @ GitHub](https://github.com/graphite-project/)]]>
            </summary>
            <updated>2025-08-29T07:32:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5616</id>
            <title type="text"><![CDATA[Stable Diffusion web UI]]></title>
            <link rel="alternate" href="https://github.com/AUTOMATIC1111/stable-diffusion-webui" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5616"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A browser interface based on Gradio library for Stable Diffusion.]]>
            </summary>
            <updated>2025-08-29T07:33:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5629</id>
            <title type="text"><![CDATA[nvitop]]></title>
            <link rel="alternate" href="https://github.com/XuehaiPan/nvitop" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5629"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.]]>
            </summary>
            <updated>2025-08-29T07:36:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5635</id>
            <title type="text"><![CDATA[OpenChatKit]]></title>
            <link rel="alternate" href="https://github.com/togethercomputer/OpenChatKit" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5635"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OpenChatKit provides a powerful, open-source base to create both specialized and general purpose chatbots for various applications. The kit includes an instruction-tuned 20 billion parameter language model, a 6 billion parameter moderation model, and an extensible retrieval system for including up-to-date responses from custom repositories. It was trained on the OIG-43M training dataset, which was a collaboration between Together, LAION, and Ontocord.ai. Much more than a model release, this is the beginning of an open source project. We are releasing a set of tools and processes for ongoing improvement with community contributions.]]>
            </summary>
            <updated>2025-08-29T07:36:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5638</id>
            <title type="text"><![CDATA[trackerjacker]]></title>
            <link rel="alternate" href="https://github.com/calebmadrigal/trackerjacker" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5638"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Like nmap for mapping wifi networks you&amp;#039;re not connected to. Maps and tracks wifi networks and devices through raw 802.11 monitoring.]]>
            </summary>
            <updated>2025-08-29T07:36:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5643</id>
            <title type="text"><![CDATA[Whisper]]></title>
            <link rel="alternate" href="https://openai.com/index/whisper/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5643"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification.

[Whisper @ GitHub](https://github.com/openai/whisper).]]>
            </summary>
            <updated>2025-08-29T07:37:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5644</id>
            <title type="text"><![CDATA[Kaggle API]]></title>
            <link rel="alternate" href="https://github.com/Kaggle/kaggle-api" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5644"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Official API for https://www.kaggle.com, accessible using a command line tool implemented in Python 3.]]>
            </summary>
            <updated>2025-08-29T07:38:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5645</id>
            <title type="text"><![CDATA[Gearman Job Server]]></title>
            <link rel="alternate" href="http://gearman.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5645"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Gearman provides a generic application framework to farm out work to other machines or processes that are better suited to do the work. It allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events. In other words, it is the nervous system for how distributed processing communicates. 

[Gearman @ GitHub](https://github.com/gearman/gearmand).]]>
            </summary>
            <updated>2025-08-29T07:38:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5653</id>
            <title type="text"><![CDATA[Codon]]></title>
            <link rel="alternate" href="https://github.com/exaloop/codon" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5653"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A high-performance, zero-overhead, extensible Python compiler using LLVM.

Codon is a high-performance Python compiler that compiles Python code to native machine code without any runtime overhead. Typical speedups over Python are on the order of 10-100x or more, on a single thread. Codon&amp;#039;s performance is typically on par with (and sometimes better than) that of C/C++. Unlike Python, Codon supports native multithreading, which can lead to speedups many times higher still. Codon grew out of the Seq project.]]>
            </summary>
            <updated>2025-08-29T07:40:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5672</id>
            <title type="text"><![CDATA[pywin32]]></title>
            <link rel="alternate" href="https://github.com/mhammond/pywin32" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5672"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Python for Windows (pywin32) Extensions.  Provides access to many of the Windows APIs from Python.]]>
            </summary>
            <updated>2025-08-29T07:42:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5673</id>
            <title type="text"><![CDATA[Scapy]]></title>
            <link rel="alternate" href="https://scapy.net/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5673"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Scapy is a powerful interactive packet manipulation libary written in Python. Scapy is able to forge or decode packets of a wide number of protocols, send them on the wire, capture them, match requests and replies, and much more. 

[Scapy @ GitHub](https://github.com/secdev/scapy).]]>
            </summary>
            <updated>2025-08-29T07:42:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5674</id>
            <title type="text"><![CDATA[nose2]]></title>
            <link rel="alternate" href="https://github.com/nose-devs/nose2" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5674"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The successor to nose, based on unittest2. nose2&amp;#039;s extends unittest to make testing nicer.]]>
            </summary>
            <updated>2025-08-29T07:42:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5706</id>
            <title type="text"><![CDATA[prettymaps]]></title>
            <link rel="alternate" href="https://github.com/marceloprates/prettymaps" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5706"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Python package to draw maps with customizable styles from OpenStreetMap data. Created using the osmnx, matplotlib, shapely and vsketch packages.]]>
            </summary>
            <updated>2025-08-29T07:48:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5717</id>
            <title type="text"><![CDATA[Hitchhiker]]></title>
            <link rel="alternate" href="https://framagit.org/marienfressinaud/hitchhiker/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5717"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Hitchhiker est un prototype de générateur de planets statiques.

Un planet est un site Web qui agrège les publications de plusieurs sites, généralement sur un sujet précis.

Pour cela, il utilise les flux Web (RSS, Atom) mis à disposition par les sites concernés.
Hitchhiker se veut le plus minimal possible (30 lignes de code) afin de servir comme démonstration.]]>
            </summary>
            <updated>2025-08-29T07:50:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5721</id>
            <title type="text"><![CDATA[Kangas]]></title>
            <link rel="alternate" href="https://github.com/comet-ml/kangas" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5721"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🦘 Explore multimedia datasets at scale.

Kangas is a tool for exploring, analyzing, and visualizing large-scale multimedia data. It provides a straightforward Python API for logging large tables of data, along with an intuitive visual interface for performing complex queries against your dataset.]]>
            </summary>
            <updated>2025-08-29T07:50:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5763</id>
            <title type="text"><![CDATA[Plant watering with Raspberry Pi]]></title>
            <link rel="alternate" href="https://github.com/swenae/watering" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5763"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[This is the &amp;quot;watering&amp;quot; python script to taking care of our plants controlled by a raspberry pi.

This is the &amp;quot;watering&amp;quot; script to taking care of our plants controlled by a Raspberry Pi. The python script works on Raspberry Pi 2, Zero W (1/2) and above with pump, relay and magnetic switch.]]>
            </summary>
            <updated>2025-08-29T07:57:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5866</id>
            <title type="text"><![CDATA[Machinae Security Intelligence Collector]]></title>
            <link rel="alternate" href="https://github.com/HurricaneLabs/machinae" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5866"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Machinae is a tool for collecting intelligence from public sites/feeds about various security-related pieces of data: IP addresses, domain names, URLs, email addresses, file hashes and SSL fingerprints. It was inspired by Automater, another excellent tool for collecting information. The Machinae project was born from wishing to improve Automater in 4 areas:]]>
            </summary>
            <updated>2025-08-29T08:14:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5868</id>
            <title type="text"><![CDATA[MSTIC Jupyter and Python Security Tools]]></title>
            <link rel="alternate" href="https://github.com/microsoft/msticpy" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5868"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Microsoft Threat Intelligence Python Security Tools. msticpy is a library for InfoSec investigation and hunting in Jupyter Notebooks.]]>
            </summary>
            <updated>2025-08-29T08:16:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5897</id>
            <title type="text"><![CDATA[fastai]]></title>
            <link rel="alternate" href="https://github.com/fastai/fastai" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5897"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard deep learning domains, and provides researchers with low-level components that can be mixed and matched to build new approaches. It aims to do both things without substantial compromises in ease of use, flexibility, or performance. This is possible thanks to a carefully layered architecture, which expresses common underlying patterns of many deep learning and data processing techniques in terms of decoupled abstractions. These abstractions can be expressed concisely and clearly by leveraging the dynamism of the underlying Python language and the flexibility of the PyTorch library. fastai includes:]]>
            </summary>
            <updated>2025-08-29T08:20:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5907</id>
            <title type="text"><![CDATA[SpiffWorkflow]]></title>
            <link rel="alternate" href="https://www.spiffworkflow.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5907"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Executable Diagrams.
Connect people and software together in a way that makes sense to everyone. 

SpiffArena is a low(ish)-code software development platform for building, running, and monitoring executable diagrams. It is intended to support Citizen Developers and to enhance their ability to contribute to the software development process. Using tools that look a lot like flow-charts and spreadsheets, it is possible to capture complex rules in a way that everyone in your organization can see, understand, and directly execute.

[SpiffWorkflow @ GitHub](https://github.com/sartography/SpiffWorkflow)]]>
            </summary>
            <updated>2025-12-23T13:52:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5915</id>
            <title type="text"><![CDATA[Volatility Framework]]></title>
            <link rel="alternate" href="https://github.com/volatilityfoundation/volatility" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5915"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Volatile memory extraction utility framework - An advanced memory forensics framework.

The Volatility Framework is a completely open collection of tools, implemented in Python under the GNU General Public License, for the extraction of digital artifacts from volatile memory (RAM) samples. The extraction techniques are performed completely independent of the
system being investigated but offer visibilty into the runtime state of the system.]]>
            </summary>
            <updated>2025-08-29T08:22:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5932</id>
            <title type="text"><![CDATA[Octopii]]></title>
            <link rel="alternate" href="https://github.com/redhuntlabs/octopii" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5932"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An AI-powered Personal Identifiable Information (PII) scanner..
Octopii is an open-source AI-powered Personal Identifiable Information (PII) scanner that can look for image assets such as Government IDs, passports, photos and signatures in a directory.]]>
            </summary>
            <updated>2025-08-29T08:25:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5940</id>
            <title type="text"><![CDATA[KeePwn]]></title>
            <link rel="alternate" href="https://github.com/Orange-Cyberdefense/KeePwn" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5940"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A python script to help red teamers discover KeePass instances and extract secrets.]]>
            </summary>
            <updated>2025-08-29T08:26:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5954</id>
            <title type="text"><![CDATA[Firefox Decrypt]]></title>
            <link rel="alternate" href="https://github.com/unode/firefox_decrypt" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5954"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Firefox Decrypt is a tool to extract passwords from profiles of Mozilla (Fire/Water)fox™, Thunderbird®, SeaMonkey® and derivates.

It can be used to recover passwords from a profile protected by a Master Password as long as the latter is known. If a profile is not protected by a Master Password, passwords are displayed without prompt.]]>
            </summary>
            <updated>2025-08-29T08:29:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5964</id>
            <title type="text"><![CDATA[Zelda 3 - A Link to the Past  PC port]]></title>
            <link rel="alternate" href="https://github.com/snesrev/zelda3" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5964"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[This is a reverse engineered clone of Zelda 3 - A Link to the Past.

It&amp;#039;s around 70-80kLOC of C code, and reimplements all parts of the original game. The game is playable from start to end.]]>
            </summary>
            <updated>2025-08-29T08:30:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5976</id>
            <title type="text"><![CDATA[curlconverter]]></title>
            <link rel="alternate" href="https://curlconverter.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5976"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Convert curl commands to code.
Convert curl commands to Python, JavaScript, PHP, R, Go, C#, Ruby, Rust, Elixir, Java, MATLAB, Dart, CFML, Ansible URI or JSON.

[curlconverter @ GitHub](https://github.com/curlconverter/curlconverter).]]>
            </summary>
            <updated>2025-08-29T08:32:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5983</id>
            <title type="text"><![CDATA[Git-Heat-Map]]></title>
            <link rel="alternate" href="https://github.com/jmforsythe/Git-Heat-Map" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5983"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Git-Heat-Map highlights the most changed files in a repository.

Related contents:

- [Episode \#107: Git with your friends (remastered) @ Changelog &amp;amp; Friends](https://changelog.com/friends/107).]]>
            </summary>
            <updated>2025-09-05T03:43:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5995</id>
            <title type="text"><![CDATA[Hypothesis]]></title>
            <link rel="alternate" href="https://hypothesis.works/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5995"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Most testing is ineffective.

Hypothesis is a new generation of tools for automating your testing process. It combines human understanding of your problem domain with machine intelligence to improve the quality of your testing process while spending less time writing tests.

- [Hypothesis @ GitHub](https://github.com/HypothesisWorks/hypothesis).

Related contents:

- [Hypothesis, Antithesis, synthesis @ Antithesis&amp;#039; Blog](https://antithesis.com/blog/2026/hegel/).]]>
            </summary>
            <updated>2026-03-25T13:27:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5996</id>
            <title type="text"><![CDATA[Nox]]></title>
            <link rel="alternate" href="https://nox.thea.codes/en/stable/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5996"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[nox is a command-line tool that automates testing in multiple Python environments, similar to tox. Unlike tox, Nox uses a standard Python file for configuration.

[Nox @ GitHub](https://github.com/wntrblm/nox)]]>
            </summary>
            <updated>2025-08-29T08:36:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5997</id>
            <title type="text"><![CDATA[tox]]></title>
            <link rel="alternate" href="https://tox.wiki/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5997"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[tox aims to automate and standardize testing in Python. It is part of a larger vision of easing the packaging, testing and release process of Python software (alongside pytest and devpi).

[tox @ GitHub](https://github.com/tox-dev/tox).]]>
            </summary>
            <updated>2025-08-29T08:36:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6002</id>
            <title type="text"><![CDATA[TruFont]]></title>
            <link rel="alternate" href="https://trufont.github.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6002"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[TruFont is a font-editing application written with Python3, ufoLib, defcon and PyQt5.

[TruFont @ GitHub](https://github.com/trufont/trufont)]]>
            </summary>
            <updated>2025-08-29T08:37:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6033</id>
            <title type="text"><![CDATA[imaginAIry]]></title>
            <link rel="alternate" href="https://github.com/brycedrennan/imaginAIry" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6033"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI imagined images. Pythonic generation of stable diffusion images.]]>
            </summary>
            <updated>2025-08-29T08:42:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6045</id>
            <title type="text"><![CDATA[Planet Venus]]></title>
            <link rel="alternate" href="http://intertwingly.net/code/venus/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6045"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Planet Venus is an awesome ‘river of news’ feed reader. It downloads news feeds published by web sites and aggregates their content together into a single combined feed, latest news first.

Planet is a flexible feed aggregator. It downloads news feeds published by
web sites and aggregates their content together into a single combined feed,
latest news first.  This version of Planet is named Venus as it is the
second major version.  The first version is still in wide use and is
also actively being maintained.

- [Planet Venus @ GitHub](https://github.com/rubys/venus/).]]>
            </summary>
            <updated>2025-08-29T08:44:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6047</id>
            <title type="text"><![CDATA[JupyterHub]]></title>
            <link rel="alternate" href="https://jupyter.org/hub" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6047"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[With JupyterHub you can create a multi-user Hub that spawns, manages, and proxies multiple instances of the single-user Jupyter notebook server.
Project Jupyter created JupyterHub to support many users. The Hub can offer notebook servers to a class of students, a corporate data science workgroup, a scientific research project, or a high-performance computing group.
JupyterHub brings the power of notebooks to groups of users. It gives users access to computational environments and resources without burdening the users with installation and maintenance tasks. Users - including students, researchers, and data scientists - can get their work done in their own workspaces on shared resources which can be managed efficiently by system administrators.
[JupyterHub @ GitHub](https://github.com/jupyterhub/jupyterhub)]]>
            </summary>
            <updated>2025-08-29T08:44:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6091</id>
            <title type="text"><![CDATA[KooR.fr - Ressources pédagogiques pour les programmeurs]]></title>
            <link rel="alternate" href="https://koor.fr/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6091"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Vous trouverez sur ce site un certain nombre de ressources pédagogiques (tutoriels, supports de cours, exemples de codes, quiz de validation des connaissances) pour différents langages de programmation. Notre objectif est double : vous aider à monter en compétences sur les différents sujets proposés et devenir une des références francophones dans le domaine.]]>
            </summary>
            <updated>2025-08-29T08:52:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6097</id>
            <title type="text"><![CDATA[PyVideo.org]]></title>
            <link rel="alternate" href="https://pyvideo.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6097"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PyVideo.org is an index of Python related media.]]>
            </summary>
            <updated>2025-08-29T08:53:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6107</id>
            <title type="text"><![CDATA[MySafeIp]]></title>
            <link rel="alternate" href="https://github.com/yvguim/mysafeip" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6107"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[MySafeIp is a web app acting as a trusted IP source for firewalls.
With it, I don&amp;#039;t have to open my own services (Nextcloud, bitwarden, etc...) worldwilde. Just me, my family and friends can use those services easily. Family and friends don&amp;#039;t even need an account to mysafeip with instant link feature.]]>
            </summary>
            <updated>2025-08-29T08:54:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6108</id>
            <title type="text"><![CDATA[twitter-archive-parser]]></title>
            <link rel="alternate" href="https://github.com/timhutton/twitter-archive-parser" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6108"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Python code to parse a Twitter archive and output in various ways.
- Converts the tweets to markdown and also HTML, with embedded images, videos and links.
- Replaces t.co URLs with their original versions (the ones that can be found in the archive).
- Copies used images to an output folder, to allow them to be moved to a new home.]]>
            </summary>
            <updated>2025-08-29T08:54:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6143</id>
            <title type="text"><![CDATA[dbcli]]></title>
            <link rel="alternate" href="https://github.com/dbcli" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6143"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Better CLIs for Databases]]>
            </summary>
            <updated>2025-08-29T09:01:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6154</id>
            <title type="text"><![CDATA[Laragon]]></title>
            <link rel="alternate" href="https://laragon.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6154"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Laragon is a portable, isolated, fast &amp;amp; powerful universal development environment for PHP, Node.js, Python, Java, Go, Ruby. It is fast, lightweight, easy-to-use and easy-to-extend.
Laragon is great for building and managing modern web applications. It is focused on performance - designed around stability, simplicity, flexibility and freedom.

[Laragon @ GitHub](https://github.com/leokhoa/laragon/)]]>
            </summary>
            <updated>2025-08-29T09:02:55+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6155</id>
            <title type="text"><![CDATA[csvkit]]></title>
            <link rel="alternate" href="https://csvkit.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6155"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[csvkit is a suite of command-line tools for converting to and working with CSV, the king of tabular file formats.

- [csvkit @ GitHub](https://github.com/wireservice/csvkit)]]>
            </summary>
            <updated>2025-11-04T07:24:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6173</id>
            <title type="text"><![CDATA[NLP Cheat Sheet]]></title>
            <link rel="alternate" href="https://github.com/janlukasschroeder/nlp-cheat-sheet-python" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6173"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Introduction to Natural Language Processing (NLP) tools, frameworks, concepts, resources for Python]]>
            </summary>
            <updated>2025-08-29T09:05:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6179</id>
            <title type="text"><![CDATA[YOLOv5]]></title>
            <link rel="alternate" href="https://github.com/ultralytics/yolov5" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6179"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[YOLOv5 in PyTorch &amp;gt; ONNX &amp;gt; CoreML &amp;gt; TFLite.
YOLOv5 is the world&amp;#039;s most loved vision AI, representing Ultralytics open-source research into future vision AI methods, incorporating lessons learned and best practices evolved over thousands of hours of research and development.]]>
            </summary>
            <updated>2025-08-29T09:06:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6182</id>
            <title type="text"><![CDATA[Advanced NLP with spaCy · A free online course]]></title>
            <link rel="alternate" href="https://course.spacy.io/en" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6182"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[spaCy is a modern Python library for industrial-strength Natural Language Processing. In this free and interactive online course, you&amp;#039;ll learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.]]>
            </summary>
            <updated>2025-08-29T09:07:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6194</id>
            <title type="text"><![CDATA[Python Graph Gallery]]></title>
            <link rel="alternate" href="https://www.python-graph-gallery.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6194"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Welcome to the Python Graph Gallery, a collection of hundreds of charts made with Python. Charts are organized in about 40 sections and always come with their associated reproducible code. They are mostly made with Matplotlib and Seaborn but other library like Plotly are sometimes used.]]>
            </summary>
            <updated>2025-08-29T09:09:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6229</id>
            <title type="text"><![CDATA[Rhasspy]]></title>
            <link rel="alternate" href="https://rhasspy.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6229"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Rhasspy (ɹˈæspi) is an open source, fully offline set of voice assistant services for many human languages.

[Rhasspy @ GitHub](https://github.com/rhasspy/rhasspy).]]>
            </summary>
            <updated>2025-08-29T09:15:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6260</id>
            <title type="text"><![CDATA[asdf]]></title>
            <link rel="alternate" href="https://asdf-vm.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6260"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Manage multiple runtime versions with a single CLI tool.
asdf is a CLI tool that can manage multiple language runtime versions on a per-project basis. It is like gvm, nvm, rbenv &amp;amp; pyenv (and more) all in one! Simply install your language&amp;#039;s plugin!

[asdf @ GitHub](https://github.com/asdf-vm/asdf).]]>
            </summary>
            <updated>2025-08-29T09:21:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6262</id>
            <title type="text"><![CDATA[chaiNNer]]></title>
            <link rel="alternate" href="https://chainner.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6262"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A node-based image processing and AI upscaling GUI that makes it easy to chain together complex processing tasks.
A flowchart/node-based image processing GUI aimed at making chaining image processing tasks (especially upscaling done by neural networks) easy, intuitive, and customizable.
No existing upscaling GUI gives you the level of customization of your image processing workflow that chaiNNer does. Not only do you have full control over your processing pipeline, you can do incredibly complex tasks just by connecting a few nodes together.

- [chaiNNer @ GitHub](https://github.com/chaiNNer-org/chaiNNer).]]>
            </summary>
            <updated>2025-08-29T09:21:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6264</id>
            <title type="text"><![CDATA[gRPC]]></title>
            <link rel="alternate" href="https://grpc.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6264"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A high performance, open source universal RPC framework.
gRPC is a modern open source high performance Remote Procedure Call (RPC) framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking and authentication. It is also applicable in last mile of distributed computing to connect devices, mobile applications and browsers to backend services.

Related contents:

- [grpConf 2025 @ CNCF&amp;#039;s YouTube](https://www.youtube.com/playlist?list=PLj6h78yzYM2On4kCcnWjlO2lpHq-etZ1d).]]>
            </summary>
            <updated>2025-09-15T13:14:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6283</id>
            <title type="text"><![CDATA[castero]]></title>
            <link rel="alternate" href="https://github.com/xgi/castero" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6283"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[castero is a TUI podcast client for the terminal.]]>
            </summary>
            <updated>2025-08-29T09:25:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6289</id>
            <title type="text"><![CDATA[Basic Pitch]]></title>
            <link rel="alternate" href="https://basicpitch.spotify.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6289"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Basic Pitch, a free audio-to-MIDI converter with pitch bend detection, built by Spotify.
Basic Pitch is a Python library for Automatic Music Transcription (AMT), using lightweight neural network developed by Spotify&amp;#039;s Audio Intelligence Lab.

[Basic Pitch @ GitHub](https://github.com/spotify/basic-pitch)]]>
            </summary>
            <updated>2025-08-29T09:25:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6334</id>
            <title type="text"><![CDATA[WebOSINT]]></title>
            <link rel="alternate" href="https://github.com/C3n7ral051nt4g3ncy/WebOSINT" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6334"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[WebOSINT is a Python script to gather (passive) domain intelligence.]]>
            </summary>
            <updated>2025-08-29T09:33:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6360</id>
            <title type="text"><![CDATA[VToonify]]></title>
            <link rel="alternate" href="https://github.com/williamyang1991/VToonify" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6360"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[VToonify: Controllable High-Resolution Portrait Video Style Transfer.
[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer.
This repository provides the official PyTorch implementation for the following paper:]]>
            </summary>
            <updated>2025-08-29T09:37:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6363</id>
            <title type="text"><![CDATA[30 seconds of code]]></title>
            <link rel="alternate" href="https://www.30secondsofcode.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6363"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Short JavaScript code snippets for all your development needs

- [30 seconds of code @ GitHub](https://github.com/30-seconds/30-seconds-of-code).]]>
            </summary>
            <updated>2025-08-29T09:37:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6382</id>
            <title type="text"><![CDATA[DuckDB]]></title>
            <link rel="alternate" href="https://duckdb.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6382"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[DuckDB is an in-process SQL OLAP database management system.

DuckDB is a high-performance analytical database system. It is designed to be fast, reliable, portable, and easy to use. DuckDB provides a rich SQL dialect, with support far beyond basic SQL
DuckDB supports arbitrary and nested correlated subqueries, window functions, collations, complex types (arrays, structs, maps), and several extensions designed to make SQL easier to use.

- [DuckDB @ GitHub](https://github.com/duckdb/duckdb).

Related contents:

- [DuckDB - Le moteur SQL qui transforme vos données @ Korben :fr:](https://korben.info/duckdb-moteur-sql-transformation-donnees.html).
- [Why DuckDB is my first choice for data processing @ \&amp;gt;robinlinacre](https://www.robinlinacre.com/recommend_duckdb/#why-duckdb-is-my-first-choice-for-data-processing).
- [DuckDB is Probably the Most Important Geospatial Software of the Last Decade @ dbreunig.com](https://www.dbreunig.com/2025/05/03/duckdb-is-the-most-impactful-geospatial-software-in-a-decade.html).
- [Why Semantic Layers Matter — and How to Build One with DuckDB @ MotherDuck](https://motherduck.com/blog/semantic-layer-duckdb-tutorial/).
- [Querying Billions of GitHub Events Using Modal and DuckDB (Part 1: Ingesting Data) @ noreasontopanic](https://noreasontopanic.com/p/querying-billions-of-github-events).
- [DuckDB beats Polars for 1TB of data @ Confessions of a Data Guy](https://www.confessionsofadataguy.com/duckdb-beats-polars-for-1tb-of-data/).
- [Building Your Modern Data Analytics Stack with Python, Parquet, and DuckDB @ KD nuggets](https://www.kdnuggets.com/building-your-modern-data-analytics-stack-with-python-parquet-and-duckdb).
- [Building an Obsidian RAG with DuckDB and MotherDuck @ MotherDuck](https://motherduck.com/blog/obsidian-rag-duckdb-motherduck/).]]>
            </summary>
            <updated>2026-02-16T06:10:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6390</id>
            <title type="text"><![CDATA[GitFive]]></title>
            <link rel="alternate" href="https://github.com/mxrch/gitfive" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6390"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🐙 Track down GitHub users.
GitFive is an OSINT tool to investigate GitHub profiles.]]>
            </summary>
            <updated>2025-08-29T09:42:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6393</id>
            <title type="text"><![CDATA[cameractrls: Camera controls for Linux]]></title>
            <link rel="alternate" href="https://github.com/soyersoyer/cameractrls" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6393"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Camera controls for Linux

It&amp;#039;s a standalone Python CLI and GUI (GTK, TK) and camera Viewer (SDL) to set the camera controls in Linux. It can set the V4L2 controls and it is extendable with the non standard controls. Currently it has a Logitech extension (Led mode, led frequency, BRIO FoV), Kiyo Pro extension (HDR, HDR mode, FoV, AF mode, Save), Systemd extension (Save and restore controls with Systemd path+service).]]>
            </summary>
            <updated>2025-08-29T09:42:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6396</id>
            <title type="text"><![CDATA[pydoit]]></title>
            <link rel="alternate" href="https://pydoit.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6396"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Task Runner - Python CLI Tool.
doit comes from the idea of bringing the power of build-tools to execute any kind of task.]]>
            </summary>
            <updated>2025-08-29T09:43:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6439</id>
            <title type="text"><![CDATA[Salt Project]]></title>
            <link rel="alternate" href="https://saltproject.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6439"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Software to automate the management and configuration of infrastructure and applications at scale. 

Salt is the world’s fastest, most intelligent and scalable automation engine.
Built on python, Salt uses simple and human-readable YAML combined with event-driven automation to deploy and configure complex IT systems. In addition to leveling-up vRealize Automation SaltStack Config, Salt can be found under the hood of products from Juniper, Cisco, Cloudflare, Nutanix, SUSE, and Tieto, to name a few.

- [Salt @ GitHub](https://github.com/saltstack/salt).

Related contents:

- [Owning a $5M data center @ Comma.ai blog](https://blog.comma.ai/datacenter/).
- [SaltStack @ France&amp;#039;s Interministerial Free Software Catalog](https://code.gouv.fr/sill/detail?id=126).]]>
            </summary>
            <updated>2026-03-04T13:34:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6533</id>
            <title type="text"><![CDATA[MLflow]]></title>
            <link rel="alternate" href="https://mlflow.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6533"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open source platform for the machine learning lifecycle.

MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud).

- [MLflow @ GitHub](https://github.com/mlflow/mlflow).]]>
            </summary>
            <updated>2025-08-29T10:05:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6557</id>
            <title type="text"><![CDATA[YeoBoSeYo (여보세요)]]></title>
            <link rel="alternate" href="https://git.afpy.org/foxmask/yeoboseyo" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6557"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🐍 Spread your favorites news to services like mastodon/mattermost/slack/discord/telegram.
From your favorite RSS feeds, spread/share those news to services of your choice.

Allow to publish a RSS feed content to a web site.]]>
            </summary>
            <updated>2025-08-29T10:09:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6566</id>
            <title type="text"><![CDATA[Organize]]></title>
            <link rel="alternate" href="https://github.com/tfeldmann/organize" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6566"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The file management automation tool.
Your desktop is a mess? You cannot find anything in your downloads and documents? Sorting and renaming all these files by hand is too tedious? Time to automate it once and benefit from it forever.
organize is a command line, open-source alternative to apps like Hazel (macOS) or File Juggler (Windows).]]>
            </summary>
            <updated>2025-08-29T10:11:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6594</id>
            <title type="text"><![CDATA[gistlib]]></title>
            <link rel="alternate" href="https://gistlib.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6594"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[find how to do things in code.
ask questions, get answers.
Gistlib uses artificial intelligence to help you find answers to your programming questions.]]>
            </summary>
            <updated>2025-08-29T10:17:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6597</id>
            <title type="text"><![CDATA[futurecoder]]></title>
            <link rel="alternate" href="https://github.com/alexmojaki/futurecoder" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6597"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[100% free and interactive Python course for beginners.
This is a 100% free and interactive course for people to teach themselves programming in Python, especially complete beginners at programming. It is carefully designed to reduce frustration and guide the user while still ensuring that they learn how to solve problems. The goal is for as many people as possible to learn programming.]]>
            </summary>
            <updated>2025-08-29T10:17:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6634</id>
            <title type="text"><![CDATA[OpenCV]]></title>
            <link rel="alternate" href="https://opencv.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6634"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Computer Vision. Open source machine learning library for computer vision.

- [OpenCV @ GitHub](https://github.com/opencv/opencv).
- [OpenCV on Wheels @ GitHub](https://github.com/opencv/opencv-python).

Related contents:

- [OpenCV Course - Full Tutorial with Python @ freeCodeCamp.org&amp;#039;s YouTube](https://www.youtube.com/watch?v=oXlwWbU8l2o).]]>
            </summary>
            <updated>2025-08-29T10:22:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6651</id>
            <title type="text"><![CDATA[{{ mustache }}]]></title>
            <link rel="alternate" href="https://mustache.github.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6651"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Logic-less templates.
It is named &amp;quot;Mustache&amp;quot; because of heavy use of braces, { }, that resemble a sideways moustache.]]>
            </summary>
            <updated>2025-08-29T10:25:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6707</id>
            <title type="text"><![CDATA[Delta Lake]]></title>
            <link rel="alternate" href="https://delta.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6707"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Delta Lake is an open-source storage framework that enables building a
Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs for Scala, Java, Rust, Ruby, and Python.]]>
            </summary>
            <updated>2025-08-29T10:34:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6716</id>
            <title type="text"><![CDATA[WeasyPrint]]></title>
            <link rel="alternate" href="https://weasyprint.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6716"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Awesome Document Factory.

 WeasyPrint is a smart solution helping web developers to create PDF documents. It’s free and open source software that can be easily plugged to your applications and websites and turns simple HTML pages into gorgeous: 

WeasyPrint is a smart solution helping web developers to create PDF documents. It turns simple HTML pages into reports, invoices or tickets.

- [WeasyPrint @ GitHub](https://github.com/Kozea/WeasyPrint).
- [PhpWeasyPrint @ GitHub](https://github.com/pontedilana/php-weasyprint).
- [WeasyPrintBundle @ GitHub](https://github.com/pontedilana/WeasyPrintBundle).
- [WeasyPrint for Laravel @ GitHub](https://github.com/mikerockett/weasyprint).]]>
            </summary>
            <updated>2025-08-29T10:37:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6749</id>
            <title type="text"><![CDATA[Impacket]]></title>
            <link rel="alternate" href="https://github.com/SecureAuthCorp/impacket" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6749"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Impacket is a collection of Python classes for working with network protocols. Impacket is focused on providing low-level programmatic access to the packets and for some protocols (e.g. SMB1-3 and MSRPC) the protocol implementation itself. Packets can be constructed from scratch, as well as parsed from raw data, and the object-oriented API makes it simple to work with deep hierarchies of protocols. The library provides a set of tools as examples of what can be done within the context of this library.]]>
            </summary>
            <updated>2025-08-29T10:41:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6889</id>
            <title type="text"><![CDATA[Python for SEO: Complete Guide (in 8 Chapters)]]></title>
            <link rel="alternate" href="https://www.jcchouinard.com/python-for-seo/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6889"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Python is an amazing programming language that will help you become better SEOs.

You can use python for SEO by dropping your reliance on Excel and stop using spreadsheets, by leveraging APIs, automating the boring tasks and by implementing machine learning algorithms.

This is a true beginner to expert guide to learn Python for SEO.]]>
            </summary>
            <updated>2025-08-29T11:06:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6923</id>
            <title type="text"><![CDATA[snmpsim: SNMP Simulator]]></title>
            <link rel="alternate" href="https://github.com/etingof/snmpsim" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6923"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[This is a pure-Python, open source and free implementation of SNMP agents simulator distributed under 2-clause BSD license.]]>
            </summary>
            <updated>2025-08-29T11:11:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6925</id>
            <title type="text"><![CDATA[tunnelmon]]></title>
            <link rel="alternate" href="https://github.com/nojhan/tunnelmon" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6925"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[tunnelmon is an autossh tunnel monitor. It gives a user interface to monitor existing SSH tunnel, and tunnels managed with autossh.]]>
            </summary>
            <updated>2025-08-29T11:11:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6929</id>
            <title type="text"><![CDATA[Offpunk]]></title>
            <link rel="alternate" href="https://notabug.org/ploum/offpunk" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6929"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An Offline-First browser for the smolnet - NotABug.org: Free code hosting.
A command-line and offline-first smolnet browser/feed reader for Gemini, Gopher, Spartan and Web by Ploum.

The goal of Offpunk is to be able to synchronise your content once (a day, a week, a month) and then browse/organise it while staying disconnected.]]>
            </summary>
            <updated>2025-08-29T11:12:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6946</id>
            <title type="text"><![CDATA[AutoPWN Suite]]></title>
            <link rel="alternate" href="https://kaangultekin.net/projects/autopwn-suite/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6946"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AutoPWN Suite is a project for scanning vulnerabilities and exploiting systems automatically.

- [AutoPWN Suite @ GitHub](https://github.com/GamehunterKaan/AutoPWN-Suite).]]>
            </summary>
            <updated>2026-03-27T11:15:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7005</id>
            <title type="text"><![CDATA[docopt—language for description of command-line interfaces]]></title>
            <link rel="alternate" href="http://docopt.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7005"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Command-line interface description language.
Command-line argument parsing solution based on the usage string.]]>
            </summary>
            <updated>2025-08-29T11:26:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7021</id>
            <title type="text"><![CDATA[Locust]]></title>
            <link rel="alternate" href="https://locust.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7021"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A modern load testing framework.

An open source load testing tool. Define user behaviour with Python code, and swarm your system with millions of simultaneous users.

- [Locust @ GitHub](https://github.com/locustio/locust).
- [Guide de prise en main rapide de Locust @ Aukfood :fr:](https://www.aukfood.fr/guide-de-prise-en-main-rapide-de-locust/).]]>
            </summary>
            <updated>2025-08-29T11:27:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7027</id>
            <title type="text"><![CDATA[Apache Airflow]]></title>
            <link rel="alternate" href="https://airflow.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7027"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Airflow is a platform created by the community to programmatically author, schedule and monitor workflows.

- [Apache Airflow @ GitHub](https://github.com/apache/airflow/).

Related contents:

- [Apache Airflow Configuration and Tuning @ DZone](https://dzone.com/articles/apache-airflow-configuration-and-tuning).
- [Exploring Apache Airflow for Batch Processing Scenario @ DZone](https://dzone.com/articles/exploring-apache-airflow-for-batch-processing-scen).
- [What Is Apache Airflow @ Seattle Data Guy](https://www.theseattledataguy.com/what-is-apache-airflow-data-engineering-consulting/).
- [Alternatives to Talend – How To Migrate Away From Talend For Your Data Pipelines @ Seattle Data Guy](https://www.theseattledataguy.com/alternatives-to-talend-how-to-migrate-away-from-talend-for-your-data-pipelines/).
- [Improving workflow orchestration with Apache Airflow 3.1 in Cloud Composer @ Google Cloud Blog](https://cloud.google.com/blog/products/data-analytics/cloud-composer-supports-apache-airflow-31/?hl=en).]]>
            </summary>
            <updated>2026-02-02T12:47:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7086</id>
            <title type="text"><![CDATA[Diagrams · Diagram as Code]]></title>
            <link rel="alternate" href="https://diagrams.mingrammer.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7086"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Diagrams lets you draw the cloud system architecture in Python code.

It was born for prototyping a new system architecture without any design tools. You can also describe or visualize the existing system architecture as well.

- [Diagrams @ GitHub](https://github.com/mingrammer/diagrams).]]>
            </summary>
            <updated>2025-08-29T11:38:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7101</id>
            <title type="text"><![CDATA[coala]]></title>
            <link rel="alternate" href="https://coala.io/#/home?lang=Python" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7101"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[linting and fixing code for all languages]]>
            </summary>
            <updated>2025-08-29T11:40:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7145</id>
            <title type="text"><![CDATA[Python GUIs]]></title>
            <link rel="alternate" href="https://www.pythonguis.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7145"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Create GUI applications with Python and Qt.
Create professional user-interfaces for your Python apps.
Stop searching for how to create GUI applications with Python — it&amp;#039;s all here. I&amp;#039;ve been teaching Python &amp;amp; Qt for 8 years, helping thousands of developers just like you to bring their apps to life. Let&amp;#039;s make your project a success!]]>
            </summary>
            <updated>2025-08-29T11:48:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7155</id>
            <title type="text"><![CDATA[pyLoad]]></title>
            <link rel="alternate" href="https://pyload.net/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7155"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Free and Open Source download manager written in Python and designed to be extremely lightweight, easily extensible and fully manageable via web]]>
            </summary>
            <updated>2025-08-29T11:50:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7188</id>
            <title type="text"><![CDATA[Spyder]]></title>
            <link rel="alternate" href="https://github.com/spyder-ide/spyder?source=korben.info" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7188"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Scientific Python Development Environment.
Spyder is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It offers a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep inspection, and beautiful visualization capabilities of a scientific package.]]>
            </summary>
            <updated>2025-08-29T11:55:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7191</id>
            <title type="text"><![CDATA[Streamrip]]></title>
            <link rel="alternate" href="https://github.com/nathom/streamrip" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7191"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A scriptable stream downloader for Qobuz, Tidal, Deezer and SoundCloud.]]>
            </summary>
            <updated>2025-08-29T11:55:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7212</id>
            <title type="text"><![CDATA[Replit]]></title>
            <link rel="alternate" href="https://replit.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7212"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Use our free, collaborative, in-browser IDE to code in 50+ languages — without spending a second on setup.

Related contents:

- [My Creative Stack for 2025 @ Unknown Arts](https://www.unknownarts.co/p/my-creative-stack-for-2025).
- [Episode 599: Psycho Shower Linux Power @ Linux Unplugged](https://linuxunplugged.com/599).]]>
            </summary>
            <updated>2025-08-29T11:59:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7213</id>
            <title type="text"><![CDATA[Online Python]]></title>
            <link rel="alternate" href="https://www.online-python.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7213"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[IDE, Editor, Compiler, Interpreter]]>
            </summary>
            <updated>2025-08-29T11:59:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7214</id>
            <title type="text"><![CDATA[Thonny]]></title>
            <link rel="alternate" href="https://thonny.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7214"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Python IDE for beginners]]>
            </summary>
            <updated>2025-08-29T11:59:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7245</id>
            <title type="text"><![CDATA[Flask]]></title>
            <link rel="alternate" href="https://flask.palletsprojects.com/en/stable/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7245"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Flask is a lightweight WSGI web application framework. It is designed to make getting started quick and easy, with the ability to scale up to complex applications. It began as a simple wrapper around Werkzeug and Jinja, and has become one of the most popular Python web application frameworks.

- [Flask @ GitHub](https://github.com/pallets/flask/).

Related contents:

- [Créer une API rest basique en Python avec Flask @ Code Garage :fr:](https://code-garage.com/blog/creer-une-api-rest-basique-en-python-avec-flask).]]>
            </summary>
            <updated>2025-08-29T12:04:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7246</id>
            <title type="text"><![CDATA[FastAPI]]></title>
            <link rel="alternate" href="https://fastapi.tiangolo.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7246"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[FastAPI framework, high performance, easy to learn, fast to code, ready for production.

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python based on standard Python type hints.

- [FastAPI @ GitHub](https://github.com/fastapi/fastapi).

Related contents:

- [FastAPI Best Practices  @ GitHub](https://github.com/zhanymkanov/fastapi-best-practices).
- [How to Implement Dependency Injection in FastAPI @ freeCodeCamp](https://www.freecodecamp.org/news/how-to-implement-dependency-injection-in-fastapi/).
- [From Zero to Hero: Deploying a Production-Ready FastAPI Application with Terraform @ Stackademic](https://blog.stackademic.com/from-zero-to-production-deploying-fastapi-applications-with-terraform-on-aws-749141eb4672).]]>
            </summary>
            <updated>2026-02-20T16:46:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7292</id>
            <title type="text"><![CDATA[Flask]]></title>
            <link rel="alternate" href="https://github.com/pallets/flask" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7292"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Python micro framework for building web applications.

Flask is a lightweight WSGI web application framework. It is designed to make getting started quick and easy, with the ability to scale up to complex applications. It began as a simple wrapper around Werkzeug and Jinja and has become one of the most popular Python web application frameworks.

Flask offers suggestions, but doesn&amp;#039;t enforce any dependencies or project layout. It is up to the developer to choose the tools and libraries they want to use. There are many extensions provided by the community that make adding new functionality easy.]]>
            </summary>
            <updated>2025-08-29T12:12:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7332</id>
            <title type="text"><![CDATA[CherryMusic]]></title>
            <link rel="alternate" href="http://www.fomori.org/cherrymusic/index.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7332"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[open-source HTML5 music streaming server]]>
            </summary>
            <updated>2025-08-29T12:19:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7387</id>
            <title type="text"><![CDATA[NNabla]]></title>
            <link rel="alternate" href="https://nnabla.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7387"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Neural Network Libraries NNabla is a deep learning framework that is intended to be used for research, development and production. We aim it running everywhere like desktop PCs, HPC clusters, embedded devices and production servers.

- [NNabla @ GitHub](https://github.com/sony/nnabla).]]>
            </summary>
            <updated>2025-08-29T12:28:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7406</id>
            <title type="text"><![CDATA[Wagtail CMS]]></title>
            <link rel="alternate" href="https://wagtail.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7406"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Django Content Management System]]>
            </summary>
            <updated>2025-08-29T12:31:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7476</id>
            <title type="text"><![CDATA[Celery]]></title>
            <link rel="alternate" href="http://www.celeryproject.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7476"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Distributed Task Queue

Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system.

The execution units, called tasks, are executed concurrently on a single or more worker servers using multiprocessing, Eventlet, or gevent. Tasks can execute asynchronously (in the background) or synchronously (wait until ready).

- [Celery @ GitHub](https://github.com/celery/celery).]]>
            </summary>
            <updated>2025-08-29T12:43:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7481</id>
            <title type="text"><![CDATA[LightBulb]]></title>
            <link rel="alternate" href="https://github.com/lightbulb-framework/lightbulb-framework" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7481"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[LightBulb is an open source python framework for auditing web applications firewalls.]]>
            </summary>
            <updated>2025-08-29T12:43:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7559</id>
            <title type="text"><![CDATA[Project Jupyter]]></title>
            <link rel="alternate" href="http://jupyter.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7559"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more.]]>
            </summary>
            <updated>2025-08-29T12:57:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7561</id>
            <title type="text"><![CDATA[modserver]]></title>
            <link rel="alternate" href="https://github.com/ers35/modserver" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7561"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[modserver is an HTTP/1.1 application server supporting multiple languages.]]>
            </summary>
            <updated>2025-08-29T12:59:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7624</id>
            <title type="text"><![CDATA[RoboBrowser]]></title>
            <link rel="alternate" href="https://github.com/jmcarp/robobrowser" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7624"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[RoboBrowser is a simple, Pythonic library for browsing the web without a standalone web browser. RoboBrowser can fetch a page, click on links and buttons, and fill out and submit forms. If you need to interact with web services that don&amp;#039;t have APIs, RoboBrowser can help.]]>
            </summary>
            <updated>2025-08-29T13:08:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7625</id>
            <title type="text"><![CDATA[Data Brewery]]></title>
            <link rel="alternate" href="http://databrewery.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7625"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Data Brewery is a set of Python frameworks and tools for data processing and analysis.]]>
            </summary>
            <updated>2025-08-29T13:08:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7674</id>
            <title type="text"><![CDATA[Karta - geospatial analysis in Python]]></title>
            <link rel="alternate" href="http://fortyninemaps.com/karta.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7674"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Python toolkit for geospatial analysis]]>
            </summary>
            <updated>2025-08-29T13:16:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7735</id>
            <title type="text"><![CDATA[Bokeh]]></title>
            <link rel="alternate" href="http://bokeh.pydata.org/en/latest" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7735"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, and to extend this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications.]]>
            </summary>
            <updated>2025-08-29T13:27:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7776</id>
            <title type="text"><![CDATA[OpenFace]]></title>
            <link rel="alternate" href="http://cmusatyalab.github.io/openface" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7776"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google. Torch allows the network to be executed on a CPU or with CUDA.]]>
            </summary>
            <updated>2025-08-29T13:33:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7783</id>
            <title type="text"><![CDATA[Kivy: Cross-platform Python Framework for NUI Development]]></title>
            <link rel="alternate" href="https://kivy.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7783"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open source Python library for rapid development of applications
that make use of innovative user interfaces, such as multi-touch apps.]]>
            </summary>
            <updated>2025-08-29T13:35:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7807</id>
            <title type="text"><![CDATA[Elodie]]></title>
            <link rel="alternate" href="https://github.com/jmathai/elodie" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7807"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An EXIF-based photo and video workflow automation tool]]>
            </summary>
            <updated>2025-08-29T13:39:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7857</id>
            <title type="text"><![CDATA[Pyston]]></title>
            <link rel="alternate" href="http://pyston.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7857"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Pyston is an open source Python implementation that aims to be both highly compatible and high-performance. It uses modern JIT techniques on top of LLVM, and natively supports many CPython C extension modules via a recompile.]]>
            </summary>
            <updated>2025-08-29T13:47:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7904</id>
            <title type="text"><![CDATA[dnstwist]]></title>
            <link rel="alternate" href="https://github.com/elceef/dnstwist" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7904"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Domain name permutation engine for detecting typo squatting, phishing and corporate espionage]]>
            </summary>
            <updated>2025-08-29T13:55:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8015</id>
            <title type="text"><![CDATA[Kotti]]></title>
            <link rel="alternate" href="http://kotti.pylonsproject.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8015"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Kotti is a high-level, Pythonic web application framework. It includes an extensible Content Management System called the Kotti CMS, offering all the features you would expect from a modern CMS:]]>
            </summary>
            <updated>2025-08-29T14:13:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8062</id>
            <title type="text"><![CDATA[pinball]]></title>
            <link rel="alternate" href="https://github.com/pinterest/pinball" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8062"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Pinball is a scalable workflow manager]]>
            </summary>
            <updated>2025-08-29T14:20:55+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8073</id>
            <title type="text"><![CDATA[Pyramid]]></title>
            <link rel="alternate" href="http://www.pylonsproject.org/projects/pyramid/about" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8073"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Pyramid is a very general open source Python web framework. As a framework, its primary job is to make it easier for a developer to create an arbitrary web application. The type of application being created isn’t really important; it could be a spreadsheet, a corporate intranet, or a social networking platform. Pyramid is general enough that it can be used in a wide variety of circumstances.]]>
            </summary>
            <updated>2025-08-29T14:23:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8297</id>
            <title type="text"><![CDATA[Portia]]></title>
            <link rel="alternate" href="https://github.com/scrapinghub/portia" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8297"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Portia is a tool for visually scraping web sites without any programming knowledge. Just annotate web pages with a point and click editor to indicate what data you want to extract, and portia will learn how to scrape similar pages from the site.]]>
            </summary>
            <updated>2025-08-29T15:00:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8367</id>
            <title type="text"><![CDATA[Butterfly]]></title>
            <link rel="alternate" href="https://github.com/paradoxxxzero/butterfly" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8367"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Butterfly is a tornado web server written in python which powers a full featured web terminal.]]>
            </summary>
            <updated>2025-08-29T15:12:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8732</id>
            <title type="text"><![CDATA[Unirest - Simplified, lightweight HTTP libraries in multiple languages]]></title>
            <link rel="alternate" href="http://unirest.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8732"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Unirest is a set of lightweight HTTP libraries available in PHP, Ruby, Python, Java, Objective-C.]]>
            </summary>
            <updated>2025-08-29T16:13:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8764</id>
            <title type="text"><![CDATA[Scrapy]]></title>
            <link rel="alternate" href="http://scrapy.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8764"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open source web scraping framework for Python.

Scrapy is a fast high-level screen scraping and web crawling framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing.

- [Scrapy @ GitHub](https://github.com/scrapy/scrapy)]]>
            </summary>
            <updated>2025-08-29T16:18:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8908</id>
            <title type="text"><![CDATA[Pelican Development Blog]]></title>
            <link rel="alternate" href="http://blog.getpelican.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8908"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Pelican static site generator]]>
            </summary>
            <updated>2025-08-29T16:42:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9083</id>
            <title type="text"><![CDATA[Tryton - Accueil]]></title>
            <link rel="alternate" href="http://www.tryton.org/fr/index.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9083"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Tryton est une plate-forme applicative de haut-niveau, d&amp;#039;architecture trois tiers, sous licence GPL-3, écrite en Python et utilisant PostgreSQL comme moteur de base de données.]]>
            </summary>
            <updated>2025-08-29T17:11:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9298</id>
            <title type="text"><![CDATA[Pylons Project : Home]]></title>
            <link rel="alternate" href="http://www.pylonsproject.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9298"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Pylons Project was founded by the people behind the Pylons web framework to develop web application framework technology in Python. Rather than focusing on a single web framework, the Pylons Project will develop a collection of related technologies. The first package is the
Pyramid
web framework.]]>
            </summary>
            <updated>2025-08-29T17:47:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9398</id>
            <title type="text"><![CDATA[The Pyramid Web Application Development Framework &amp;amp;#8212; The Pyramid Web Application Development Framework v1.2]]></title>
            <link rel="alternate" href="https://docs.pylonsproject.org/projects/pyramid/1.2/index.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9398"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Pyramid is a small, fast, down-to-earth Python web application development framework. It is developed as part of the Pylons Project. It is licensed under a BSD-like license.]]>
            </summary>
            <updated>2025-08-29T18:03:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9643</id>
            <title type="text"><![CDATA[Cr&amp;amp;#232;me CRM]]></title>
            <link rel="alternate" href="http://www.cremecrm.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9643"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Le CRM libre et délicieux développé par Hybird]]>
            </summary>
            <updated>2025-08-29T18:46:13+00:00</updated>
        </entry>
    </feed>
