[Rust](https://www.rust-lang.org/) bindings for [Python](https://www.python.org/), including tools for creating native Python extension modules. Running and interacting with Python code from a Rust binary is also supported.
PyO3 can be used to generate a native Python module. The easiest way to try this out for the first time is to use [`maturin`](https://github.com/PyO3/maturin). `maturin` is a tool for building and publishing Rust-based Python packages with minimal configuration. The following steps install `maturin`, use it to generate and build a new Python package, and then launch Python to import and execute a function from the package.
First, follow the commands below to create a new directory containing a new Python `virtualenv`, and install `maturin` into the virtualenv using Python's package manager, `pip`:
```bash
# (replace string_sum with the desired package name)
$ mkdir string_sum
$ cd string_sum
$ python -m venv .env
$ source .env/bin/activate
$ pip install maturin
```
Still inside this `string_sum` directory, now run `maturin init`. This will generate the new package source. When given the choice of bindings to use, select pyo3 bindings:
```bash
$ maturin init
✔ 🤷 What kind of bindings to use? · pyo3
✨ Done! New project created string_sum
```
The most important files generated by this command are `Cargo.toml` and `lib.rs`, which will look roughly like the following:
Finally, run `maturin develop`. This will build the package and install it into the Python virtualenv previously created and activated. The package is then ready to be used from `python`:
If you want to be able to run `cargo test` or use this project in a Cargo workspace and are running into linker issues, there are some workarounds in [the FAQ](https://pyo3.rs/latest/faq.html#i-cant-run-cargo-test-or-i-cant-build-in-a-cargo-workspace-im-having-linker-issues-like-symbol-not-found-or-undefined-reference-to-_pyexc_systemerror).
As well as with `maturin`, it is possible to build using [`setuptools-rust`](https://github.com/PyO3/setuptools-rust) or [manually](https://pyo3.rs/latest/building_and_distribution.html#manual-builds). Both offer more flexibility than `maturin` but require more configuration to get started.
To embed Python into a Rust binary, you need to ensure that your Python installation contains a shared library. The following steps demonstrate how to ensure this (for Ubuntu), and then give some example code which runs an embedded Python interpreter.
- [maturin](https://github.com/PyO3/maturin) _Build and publish crates with pyo3, rust-cpython or cffi bindings as well as rust binaries as python packages_
- [pyo3-built](https://github.com/PyO3/pyo3-built) _Simple macro to expose metadata obtained with the [`built`](https://crates.io/crates/built) crate as a [`PyDict`](https://docs.rs/pyo3/*/pyo3/types/struct.PyDict.html)_
- [rustimport](https://github.com/mityax/rustimport) _Directly import Rust files or crates from Python, without manual compilation step. Provides pyo3 integration by default and generates pyo3 binding code automatically._
- [hyperjson](https://github.com/mre/hyperjson) _A hyper-fast Python module for reading/writing JSON data using Rust's serde-json_
- [html-py-ever](https://github.com/PyO3/setuptools-rust/tree/main/examples/html-py-ever) _Using [html5ever](https://github.com/servo/html5ever) through [kuchiki](https://github.com/kuchiki-rs/kuchiki) to speed up html parsing and css-selecting._
- [point-process](https://github.com/ManifoldFR/point-process-rust/tree/master/pylib) _High level API for pointprocesses as a Python library_
- [autopy](https://github.com/autopilot-rs/autopy) _A simple, cross-platform GUI automation library for Python and Rust._
- [Rogue-Gym](https://github.com/kngwyu/rogue-gym) _Customizable rogue-like game for AI experiments_
- Contains an example of building wheels on Azure Pipelines
- [fastuuid](https://github.com/thedrow/fastuuid/) _Python bindings to Rust's UUID library_
- [wasmer-python](https://github.com/wasmerio/wasmer-python) _Python library to run WebAssembly binaries_
- [mocpy](https://github.com/cds-astro/mocpy) _Astronomical Python library offering data structures for describing any arbitrary coverage regions on the unit sphere_
- [tokenizers](https://github.com/huggingface/tokenizers/tree/main/bindings/python) _Python bindings to the Hugging Face tokenizers (NLP) written in Rust_
- [fastbloom](https://github.com/yankun1992/fastbloom) _A fast [bloom filter](https://github.com/yankun1992/fastbloom#BloomFilter) | [counting bloom filter](https://github.com/yankun1992/fastbloom#countingbloomfilter) implemented by Rust for Rust and Python!_
- [river](https://github.com/online-ml/river) _Online machine learning in python, the statistics are the most computationally heavy are implemented in rust_
- [Nine Rules for Writing Python Extensions in Rust](https://towardsdatascience.com/nine-rules-for-writing-python-extensions-in-rust-d35ea3a4ec29?sk=f8d808d5f414154fdb811e4137011437) - Dec 31, 2021
Our [contributing notes](https://github.com/PyO3/pyo3/blob/main/Contributing.md) and [architecture guide](https://github.com/PyO3/pyo3/blob/main/Architecture.md) have more resources if you wish to volunteer time for PyO3 and are searching where to start.
If you don't have time to contribute yourself but still wish to support the project's future success, some of our maintainers have GitHub sponsorship pages: