Python Bridge

This module provides a seamless integration between JavaScript (Deno/Bun) and Python by integrating with the Python/C API. 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 while remaining native (unlike a runtime like the wonderful 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:

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.

deno run -A --unstable <file>

Usage in Bun

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

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, conda or poetry.

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 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 and deno cache.

To use ext/pip for python package management you simply use the provided import or install methods. The rest is handled automatically for you! Just take a look!

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.

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)
Elias Sjögreen (@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.