Rust bindings for Python, including tools for creating native Python extension modules. Running and interacting with Python code from a Rust binary is also supported.
PyO3 supports the following software versions:
You can use PyO3 to write a native Python module in Rust, or to embed Python in a Rust binary. The following sections explain each of these in turn.
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
. 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
:
# (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:
$ 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:
Cargo.toml
[package] name = "string_sum" version = "0.1.0" edition = "2021" [lib] # The name of the native library. This is the name which will be used in Python to import the # library (i.e. `import string_sum`). If you change this, you must also change the name of the # `#[pymodule]` in `src/lib.rs`. name = "string_sum" # "cdylib" is necessary to produce a shared library for Python to import from. # # Downstream Rust code (including code in `bin/`, `examples/`, and `tests/`) will not be able # to `use string_sum;` unless the "rlib" or "lib" crate type is also included, e.g.: # crate-type = ["cdylib", "rlib"] crate-type = ["cdylib"] [dependencies] pyo3 = { version = "0.22.2", features = ["extension-module"] }
src/lib.rs
use pyo3::prelude::*; /// Formats the sum of two numbers as string. #[pyfunction] fn sum_as_string(a: usize, b: usize) -> PyResult<String> { Ok((a + b).to_string()) } /// A Python module implemented in Rust. The name of this function must match /// the `lib.name` setting in the `Cargo.toml`, else Python will not be able to /// import the module. #[pymodule] fn string_sum(m: &Bound<'_, PyModule>) -> PyResult<()> { m.add_function(wrap_pyfunction!(sum_as_string, m)?)?; Ok(()) }
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
:
$ maturin develop # lots of progress output as maturin runs the compilation... $ python >>> import string_sum >>> string_sum.sum_as_string(5, 20) '25'
To make changes to the package, just edit the Rust source code and then re-run maturin develop
to recompile.
To run this all as a single copy-and-paste, use the bash script below (replace string_sum
in the first command with the desired package name):
mkdir string_sum && cd "$_" python -m venv .env source .env/bin/activate pip install maturin maturin init --bindings pyo3 maturin develop
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.
As well as with maturin
, it is possible to build using setuptools-rust
or manually. 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.
To install the Python shared library on Ubuntu:
sudo apt install python3-dev
To install the Python shared library on RPM based distributions (e.g. Fedora, Red Hat, SuSE), install the python3-devel
package.
Start a new project with cargo new
and add pyo3
to the Cargo.toml
like this:
[dependencies.pyo3] version = "0.22.2" features = ["auto-initialize"]
Example program displaying the value of sys.version
and the current user name:
use pyo3::prelude::*; use pyo3::types::IntoPyDict; use pyo3::ffi::c_str; fn main() -> PyResult<()> { Python::with_gil(|py| { let sys = py.import("sys")?; let version: String = sys.getattr("version")?.extract()?; let locals = [("os", py.import("os")?)].into_py_dict(py); let code = c_str!("os.getenv('USER') or os.getenv('USERNAME') or 'Unknown'"); let user: String = py.eval(code, None, Some(&locals))?.extract()?; println!("Hello {}, I'm Python {}", user, version); Ok(()) }) }
The guide has a section with lots of examples about this topic.
built
crate as a PyDict
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