Use Python libraries from Node.js

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Install pymport:

npm i pymport

Install numpy, pandas or whatever your favorite Python package is:

npx pympip3 install numpy

Start using from Node.js:

const { pymport, proxify } = require('pymport');
const np = proxify(pymport('numpy'));

const a = np.arange(15).reshape(3, 5);
const b = np.ones([2, 3], { dtype: np.int16 });

or

import { pymport, proxify } from 'pymport';
const np = proxify(pymport('numpy'));

const a = np.arange(15).reshape(3, 5);
const b = np.ones([2, 3], { dtype: np.int16 });

Then head to the wiki for the full documentation.

Or go for the quickstart by learning from the examples.

There is also a medium stort with a brief introduction.

pymport is unit-tested on all combinations of:

except for the following combinations that are not supported:

• Node.js 16.x on Ubuntu 22.04: rebuilding from source against the system-installed Python is not possible due to Node.js containing a built-in OpenSSL 1.1 with exported symbols while the system-provided Python is built vs OpenSSL 3.0, upgrading Node.js or using the precompiled interpreter solves this issue

• Node.js 16.x and Python 3.12: node-gyp from Node.js 16.x does not work if Python 3.12 is installed

• Python 3.11.x on Windows: An upstream bug requires a specific workaround in this case #44

Although both projects provide similar functionality, they are completely unrelated with very different design goals:

• pymport goal is to allow using standard Python libraries without any modification in Node.js - it brings software such as numpy and pandas to Node.js
• Pyodide goal is to allow using Python code in a modified interpreter both in the browser and in Node.js - it allows scripting a web page in Python

You can check the wiki for a more detailed comparison.

The wiki has a list of some known and hard to fix issues: Known Issues

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