python
Publish and install private python packages using OCI/docker registries.
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.
PyPI Package Statistics & Analytics
Track downloads, analyze trends, and gain insights into the Python ecosystem
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.
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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.
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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're building simple classifiers, sophisticated RAG pipelines, or Agent loops.
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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.
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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.
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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'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.
Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖
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A powerful Python package for integrating artificial intelligence with geospatial data analysis and visualization.
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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
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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.
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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]
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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.
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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.
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.
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Advanced LLM-powered brute-force tool combining AI intelligence with automated login attacks.
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A Deep Learning Approach for Password Guessing.
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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.
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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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- Python: The Documentary | An origin story @ CultRepo's YouTube (source: Python - Comment un petit projet de Noël est devenu le langage de l'IA et de la science @ Korben :fr:).
- I'm Switching to Python and Actually Liking It @ César Soto Valero.
- Python has had async for 10 years -- why isn't it more popular? @ Anthony Shaw.
- Why Today’s Python Developers Are Embracing Type Hints @ Pyrefly.
- The Parameter Laboratory: Decorators with Arguments @ Aaron Rose's dev.to.
- Why Is Python So Popular in 2025? @ JetBrains Blog.
- Why Reactive Programming Hasn't Taken Off in Python (And How Signals Can Change That) @ bui.app.
- Python's splitlines does a lot more than just newlines @ william woodruff.
- dev-requirements.txt is bad @ koaning.io.
- The future of Python web services looks GIL-free @ Fluxus.
- How often does Python allocate? @ zackoverflow.
- 10 Smart Performance Hacks For Faster Python Code @ Jetbrains Blog.
- Python is not a great language for data science. Part 1: The experience @ Genes, Minds, Machines.
- Use Python for Scripting! @ hyPiRion.
- Deprecations via warnings don’t work for Python libraries @ Seth Larson.
- 4 mois de Python de manière intensive: mon retour sur le langage @ (mcorbin.fr) :fr:.
- Python Numbers Every Programmer Should Know @ Michael Kennedy.
- WebAssembly as a Python extension platform @ null program.
- Stop Writing Spaghetti if-else Chains: Parsing JSON with Python’s match-case @ toward data science.
- Python Basics: The Complete Beginner’s Guide to Programming in 2026 🐍 @ Peter Njuguna's Medium.
- How we made Python's packaging library 3x faster @ ISciNumPy.dev.
- Python Only Has One Real Competitor @ Ethan McCue.
- Python Type Checker Comparison: Empty Container Inference @ Pyrefly.
- The Story of Python's Lazy Imports: Why It Took Three Years and Two Attempts @ TechLife.
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.
- Agent Development Kit (ADK) Python @ GitHub.
- Agent Development Kit (ADK) Java @ GitHub.
- Agent Development Kit (ADK) for Go @ GitHub.
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🛡️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.