Awesome Python

The agent that grows with you

Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.

A high-throughput and memory-efficient inference and serving engine for LLMs

An extremely fast Python package and project manager, written in Rust.

AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.

Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.

Open Data Platform for analysts, quants and AI agents.

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]

An extremely fast Python linter and code formatter, written in Rust.

Extremely fast Query Engine for DataFrames, written in Rust

Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.

A browser automation framework and ecosystem.

SGLang is a high-performance serving framework for large language models and multimodal models.

Search infrastructure for AI

Data validation using Python type hints

Sampling profiler for Python programs

Pyodide is a Python distribution for the browser and Node.js based on WebAssembly

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

Polyglot document intelligence with a Rust core: extract text, metadata, images, tables, and structured data from 106 formats across 140 file extensions, plus code intelligence for 371 languages. Fifteen bindings, with CLI, REST API, and MCP server.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

The property-based testing library for Python

A polyglot document intelligence framework with a Rust core. Extract text, metadata, images, and structured information from PDFs, Office documents, images, and 97+ formats. Available for Rust, Python, Ruby, Java, Go, PHP, Elixir, C#, R, C, TypeScript (Node/Bun/Wasm/Deno)- or use via CLI, REST API, or MCP server.

Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.

Robyn is a Super Fast Async Python Web Framework with a Rust runtime.

A fast type checker and language server for Python

Trail of Bits Claude Code skills for security research, vulnerability detection, and audit workflows

Python datetimes made easy

Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.

A Rust HTTP server for Python applications

xlwings is a Python library that makes it easy to call Python from Excel and vice versa. It works with Excel on Windows, macOS, and Excel on the web.

Simple, modern and fast file watching and code reload for Python, written in Rust

⏰ Modern datetime library for Python

The fastest PDF library for Python and Rust. Text extraction, image extraction, markdown conversion, PDF creation & editing. 0.8ms mean, 5× faster than industry leaders, 100% pass rate on 3,830 PDFs. MIT/Apache-2.0.

Blazingly fast cognitive complexity analysis for Python, written in Rust.