Many of the examples are years out of date and involve complex setup. You can give JSPyBridge a try (full disclosure: I'm the author).
It's a bi-directional bridge that lets you use JavaScript code from Python, and vice-versa. That means that Python code can call JS callbacks, and JS code can call Python callbacks.
Access Python from JS, numpy + matplotlib example, with the ES6 import system:
import { py, python } from 'pythonia'
const np = await python('numpy')
const plot = await python('matplotlib.pyplot')
// Fixing random state for reproducibility
await np.random.seed(19680801)
const [mu, sigma] = [100, 15]
// Inline expression evaluation for operator overloading
const x = await py`${mu} + ${sigma} * ${np.random.randn(10000)}`
// the histogram of the data
const [n, bins, patches] = await plot.hist$(x, 50, { density: true, facecolor: 'g', alpha: 0.75 })
console.log('Distribution', await n) // Always await for all Python access
await plot.show()
python.exit()
Through CommonJS (without top level await):
const { py, python } = require('pythonia')
async function main() {
const np = await python('numpy')
const plot = await python('matplotlib.pyplot')
...
// the rest of the code
}
main().then(() => python.exit()) // If you don't call this, the process won't quit by itself.
Access JS from python:
from javascript import require, globalThis
chalk, fs = require("chalk"), require("fs")
print("Hello", chalk.red("world!"), "it's", globalThis.Date().toLocaleString())
fs.writeFileSync("HelloWorld.txt", "hi!")
