python
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.
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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's going to make Agentic AI way simpler going forward.
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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.
💫 Industrial-strength Natural Language Processing (NLP) in Python.
spaCy is a library for advanced Natural Language Processing in Python and Cython. It'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.
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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.
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The fast context maker. Surgical context engineering with a nice UI, Windows, Mac, Linux, BSD, anywhere where python & Qt run.
Take control of your AI's context to get radically better bug-fixing and planning assistance. When you don't tell the AIs about MCP servers and tools, you'll be suprised at what they are capable of.
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.
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.
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A penetration testing tool for odoo applications.
OdooMap is a reconnaissance, enumeration, and security testing tool for Odoo applications.
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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.
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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”, "Manus", 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.
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.
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.
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.
A lightweight batch processing queue for the heaviest loads.
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An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
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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.
A high-performance Python library for fast, concurrent S3 object downloads.
A Universal Attack on Defensive Image Watermarking.
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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.
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.
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.
any-agent is a Python library providing a single interface to different agent frameworks.
Communicate with an LLM provider using a single interface.
any-llm is a Python library providing a single interface to different llm providers.
Python is a programming language that lets you work quickly and integrate systems more effectively.
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Chainlit is an open-source Python package to build production ready Conversational AI.
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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.
🛡️A resilient, high-performance asynchronous connection pool layer for SQLite, designed for efficient and scalable database operations.
Simple IOC and YARA Scanner. Scanner for Simple Indicators of Compromise.
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.
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.
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.
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An open-source implementation of the AlphaEvolve system described in the Google DeepMind paper "AlphaEvolve: A coding agent for scientific and algorithmic discovery" (2025).
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.
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.
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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.
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's Firebase. It provides SDKs for multiple programming languages with varying levels of stability
We'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.
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.
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.
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UV kernel for Jupyter.
reproducible, dependency-aware, and Git-friendly Jupyter Notebooks.
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.
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.
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computer vision and sports.
In sports, every centimeter and every second matter. That'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.
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.
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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.
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.
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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.
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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'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.
An extremely fast Python type checker and language server, written in Rust.
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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.
A fast and complete implementation of Markdown in Python.
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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.
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.
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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.
Moose lets you develop analytical backends in pure TypeScript or Python code. The developer framework for your data & 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.
A Python Script to fetch Garmin health data and populate that in a InfluxDB Database, for visualization long term health trends with Grafana.