pyo3

Create Python extension modules from Rust code using PyO3 and Maturin.

15|4|Updated Jan 20, 2026

Search Tags:#performance #python #rust #pyo3 #bindings #extension module

Ready to run

npx skills add https://github.com/cofin/flow --skill pyo3

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pyo3
Source: https://github.com/cofin/flow/tree/main/skills/pyo3
Command: npx skills add https://github.com/cofin/flow --skill pyo3

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) components.

What problem does it solve?

This Skill simplifies the complex process of creating high-performance Python extensions using Rust, enabling efficient data exchange and leveraging Rust's speed within Python applications.

Core Features & Use Cases

Rust-to-Python Bindings: Expose Rust functions, classes, and data structures to Python.
Performance Optimization: Achieve near-native speeds for computationally intensive tasks by writing them in Rust.
Memory Safety: Leverage Rust's safety guarantees to prevent common memory errors in Python extensions.
Use Case: Integrate a high-performance data processing library written in Rust into your existing Python data science workflow without rewriting the entire application in Python.

Quick Start

Use the pyo3 skill to create a Python module from the provided Rust code.

Frequently Asked Questions about pyo3

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I create a Python extension module in Rust?▼

Create a Python extension module in Rust by using the PyO3 library to expose Rust functions and classes, configuring the build with Maturin, and managing the GIL for safe memory access.

What is the best way to call high-performance Rust code from Python?▼

Calling high-performance Rust code from Python is best achieved by building bindings with PyO3, which enables near-native execution speeds for computationally intensive tasks while maintaining memory safety.

Can I transfer data between Rust and Python without copying memory?▼

Yes, you can transfer data without copying memory by implementing the buffer protocol in your Rust extension, enabling zero-copy data transfer directly into Python applications.

How does async bridging work when exposing Rust functions to Python?▼

Async bridging connects Rust's asynchronous execution model with Python's async event loop, allowing Rust functions callable from Python to execute non-blocking operations without stalling the GIL.

Do I need Maturin to build PyO3 extension modules?▼

Yes, Maturin is the recommended build configuration tool for PyO3 extension modules, streamlining the compilation and packaging of Rust code into installable Python packages.

Why leverage Rust for Python data science workflows?▼

Leveraging Rust for Python data science workflows solves performance bottlenecks by executing heavy computations in memory-safe Rust, seamlessly integrating the results back into existing Python applications.