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https://github.com/denosaurs/deno_python

🐍 Python interpreter bindings for Deno and Bun.
https://github.com/denosaurs/deno_python

bun bun-ffi bun-python c-api cpython deno deno-ffi ffi hacktoberfest javascript python python-c-api typescript

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🐍 Python interpreter bindings for Deno and Bun.

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README 

        
# Python Bridge



[![Tags](https://img.shields.io/github/release/denosaurs/deno_python)](https://github.com/denosaurs/deno_python/releases)

[![deno doc](https://doc.deno.land/badge.svg)](https://doc.deno.land/https/deno.land/x/python/mod.ts)

[![checks](https://github.com/denosaurs/deno_python/actions/workflows/checks.yml/badge.svg)](https://github.com/denosaurs/deno_python/actions/workflows/checks.yml)

[![License](https://img.shields.io/github/license/denosaurs/deno_python)](https://github.com/denosaurs/deno_python/blob/master/LICENSE)



This module provides a seamless integration between JavaScript (Deno/Bun) and

Python by integrating with the

[Python/C API](https://docs.python.org/3/c-api/index.html). It acts as a bridge

between the two languages, enabling you to pass data and execute python code

from within your JS applications. This enables access to the large and wonderful

[python ecosystem](https://pypi.org/) while remaining native (unlike a runtime

like the wonderful [pyodide](https://github.com/pyodide/pyodide) which is

compiled to wasm, sandboxed and may not work with all python packages) and

simply using the existing python installation.



## Example



Import any locally installed Python package, for example, `matplotlib`:



```ts

import { python } from "https://deno.land/x/python/mod.ts";



const np = python.import("numpy");

const plt = python.import("matplotlib.pyplot");



const xpoints = np.array([1, 8]);

const ypoints = np.array([3, 10]);



plt.plot(xpoints, ypoints);

plt.show();

```



When running, you **must** specify `--allow-ffi`, `--allow-env` and `--unstable`

flags. Alternatively, you may also just specify `-A` instead of specific

permissions since enabling FFI effectively escapes the permissions sandbox.



```shell

deno run -A --unstable 

```



### Usage in Bun



You can import from the `bunpy` NPM package to use this module in Bun.



```ts

import { python } from "bunpy";



const np = python.import("numpy");

const plt = python.import("matplotlib.pyplot");



const xpoints = np.array([1, 8]);

const ypoints = np.array([3, 10]);



plt.plot(xpoints, ypoints);

plt.show();

```



### Dependencies



Normally deno_python follows the default python way of resolving imports, going

through `sys.path` resolving them globally, locally or scoped to a virtual

environment. This is ~~great~~ and allows you to manage your python dependencies

for `deno_python` projects in the same way you would any other python project

using your favorite package manager, be it

[`pip`](https://pip.pypa.io/en/stable/),

[`conda`](https://docs.conda.io/en/latest/) or

[`poetry`](https://python-poetry.org/).



This may not be a good thing though, especially for something like a deno module

which may depend on a python package. That is why the [`ext/pip`](./ext/pip.ts)

utility exists for this project. It allows you to install python dependencies

using pip, scoped to either the global deno installation or if defined the

`--location` passed to deno without leaking to the global python scope. It uses

the same caching location and algorithm as

[plug](https://github.com/denosaurs/deno) and

[deno cache](https://github.com/denoland/deno_cache).



To use [`ext/pip`](./ext/pip.ts) for python package management you simply use

the provided `import` or `install` methods. The rest is handled automatically

for you! Just take a look!



```ts

import { pip } from "https://deno.land/x/python/ext/pip.ts";



const np = await pip.import("numpy");

const plt = await pip.import("matplotlib", "matplotlib.pyplot");



const xpoints = np.array([1, 8]);

const ypoints = np.array([3, 10]);



plt.plot(xpoints, ypoints);

plt.show();

```



## Documentation



Check out the docs

[here](https://doc.deno.land/https://deno.land/x/python/mod.ts).



## Python Installation



This module uses FFI to interface with the Python interpreter's C API. So you

must have an existing Python installation (with the shared library), which is

something like `python310.dll`, etc.



Python installed from Microsoft Store does not work, as it does not contain

shared library for interfacing with Python interpreter.



If the module fails to find Python, you can add the path to the Python in the

`DENO_PYTHON_PATH` environment variable.



`DENO_PYTHON_PATH` if set, must point to full path including the file name of

the Python dynamic library, which is like `python310.dll` (Windows),

`libpython310.dylib` (macOS) and `libpython310.so` (Linux) depending on

platform.



## Maintainers



- DjDeveloper ([@DjDeveloperr](https://github.com/DjDeveloperr))

- Elias Sjögreen ([@eliassjogreen](https://github.com/eliassjogreen))



## Other



### Contribution



Pull request, issues and feedback are very welcome. Code style is formatted with

`deno fmt` and commit messages are done following Conventional Commits spec.



### Licence



Copyright 2021, DjDeveloperr.



Copyright 2023, the Denosaurs team. All rights reserved. MIT license.