Awesome Rust Python

Python libraries and tools powered by Rust.

Rust brings performance, safety, and concurrency to Python. This list showcases libraries that leverage Rust to supercharge Python applications.

Contents

• Build Tools & Frameworks
• Data Processing
• Development Tools
• Web & Networking
• Machine Learning & AI
• Performance & Caching
• Text Processing & Parsing
• Utilities
• Game Development
• Resources

Build Tools & Frameworks

Tools and frameworks for building Rust-powered Python extensions.

• inline-python - Inline Python code directly in your Rust code.
• maturin - Build and publish Rust-based Python packages with minimal configuration.
• pyo3-async-runtimes - PyO3-based bridges between Python and Rust async runtimes.
• pyo3-file - Helper library for working with Python file-like objects with Rust.
• pyo3-stub-gen - Stub file (*.pyi) generator for PyO3.
• PyO3 - Rust bindings for Python, including tools for creating native Python extension modules.
• rustimport - Import Rust source files directly from Python.
• RustPython - Python Interpreter written in Rust.
• setuptools-rust - Setuptools plugin for building Rust extensions.

Data Processing

High-performance data processing and serialization libraries.

• jiter - Fast iterable JSON parser.
• ormsgpack - Msgpack serialization/deserialization library.
• orjson - Fast, correct JSON library.
• polars - DataFrame library with a Pandas-like API.
• pydantic-core - Core validation logic for Pydantic v2.
• yaml-rs - High-performance YAML v1.2 parser.

Development Tools

Developer tools that enhance Python development workflows.

• huak - Python package manager.
• prek - Fast reimplementation of the pre-commit framework.
• pylyzer - Static code analyzer and language server.
• ruff - Extremely fast Python linter and code formatter.
• rumdl - Markdown linter and formatter.
• rye - Python project management tool.
• ty - Python type checker and language server.
• uv - Python package installer and resolver.

Web & Networking

Web servers, networking libraries, and cryptographic tools.

• cryptography - Cryptographic recipes and primitives.
• granian - High-performance ASGI/WSGI server.
• httparse - Wrapper for the httparse HTTP parser.
• nh3 - Binding to Ammonia HTML sanitizer.
• pyreqwest - HTTP client based on reqwest.
• pyrtls - Rustls-based TLS library.
• rloop - AsyncIO event loop.
• rnet - HTTP client with TLS fingerprinting.
• Robyn - Async web framework with a Rust runtime.

Machine Learning & AI

Tools for machine learning, NLP, and AI applications.

• chroma - Search and retrieval database for AI applications.
• safetensors - Safe and fast tensor serialization format.
• tokenizers - Fast tokenizers for NLP pipelines.

Performance & Caching

High-performance caching and data structure libraries.

• cachebox - Memoizing and caching library.
• fastbloom - Bloom filter implementation.
• moka-py - High performance caching library.
• rbloom - Bloom filter library.

Text Processing & Parsing

Libraries for text processing, parsing, and manipulation.

• Python-Regex - Port of the Rust regex library.
• pyromark - Markdown parser.
• regex-rs - Bindings for the regex crate.
• tantivy-py - Bindings for Tantivy full-text search engine.

Utilities

Miscellaneous utility libraries.

• geohashr - Geohashing library.
• hexora - Static analysis of malicious code.
• jsrun - JavaScript runtime powered by V8.
• PyDomainExtractor - Domain extraction library.
• pythonize - Serialization library for Rust types.
• result - Rust-like Result type.
• rtoml - TOML library.
• ryaml - YAML library.
• tonio - Multi-threaded async runtime.
• uuid-utils - Bindings to Rust UUID.
• whenever - Modern datetime library.
• zensical - Static site generator.

Game Development

Game engines and frameworks.

• pyxel - Retro game engine.

Resources

Learning Materials

• Calling Rust from Python - Tutorial series on Rust-Python integration.
• PyO3 User Guide - Comprehensive guide to building Python extensions with Rust.
• Speed Up Your Python with Rust - Guide to optimizing Python with Rust.

Articles & Blog Posts

• Pydantic V2 Plan - How Rust powers Pydantic's performance improvements.
• Ruff: One Tool to Rule Them All - The story behind building a fast Python linter in Rust.
• Why Polars uses Rust - Insights into choosing Rust for data processing.

Contributing

Contributions are welcome! Please read the contribution guidelines first.