Can I Use Python with Electron [Run a Python Script in Electron JS]

Yes, you can use Python with Electron to build desktop applications.

Electron is a framework that allows you to create cross-platform desktop applications using web technologies such as HTML, CSS, and JavaScript. Although Electron is primarily designed to work with JavaScript, you can use Python in combination with Electron by using a few different approaches.

How do I run a Python script in Electron JS?

To run a Python script in an Electron application, you can follow these general steps:

  • Set up your Electron project: Create a new Electron project or use an existing one. Set up the necessary files and dependencies.
  • Define your application’s UI: Use HTML, CSS, and JavaScript to create the user interface for your Electron application. This can include buttons, input fields, or any other UI elements.
  • Establish communication between Electron and Python: Electron provides a mechanism for inter-process communication (IPC) between the main process and renderer process. Use Electron’s ipcMain and ipcRenderer modules to send messages between Electron and the Python backend.
  • Create a child process for running the Python script: Within your Electron application, you can use Node.js’s child_process module to spawn a Python process as a child process. You can execute your Python script by running it as a command-line argument in the child process.

Here’s a simplified example to illustrate these steps:

In your Electron JavaScript code:

const { app, BrowserWindow, ipcMain } = require('electron');
const { spawn } = require('child_process');

// Create the main window
app.on('ready', () => {
  const mainWindow = new BrowserWindow({ width: 800, height: 600 });

// Handle an IPC message from the renderer process
ipcMain.on('run-python-script', (event, arg) => {
  const pythonProcess = spawn('python', ['path/to/your/']);

  pythonProcess.stdout.on('data', (data) => {
    // Handle the output from the Python script

  pythonProcess.on('close', (code) => {
    // Handle the Python process closing
    console.log(`Python script exited with code ${code}`);
Code language: Python (python)

In your HTML file:

<!DOCTYPE html>
  <meta charset="UTF-8">
  <title>Electron Python Example</title>
  <button onclick="runPythonScript()">Run Python Script</button>

    const { ipcRenderer } = require('electron');

    function runPythonScript() {
Code language: Python (python)

In your Python script (

import sys

print('Hello from Python!')
print(f'Received arguments: {sys.argv}')
Code language: Python (python)

When you click the “Run Python Script” button in the Electron application, it will trigger the IPC message, and the Electron main process will spawn a child process to run the Python script. The output from the Python script will be logged to the console in this example.

Remember to adjust the paths and add error handling as needed in your actual application.

What is the Python equivalent of Electron?

The Python equivalent of Electron would be a combination of web technologies like HTML, CSS, and JavaScript, along with a Python backend.

You can use Python frameworks like Flask or Django to build the backend and provide the application logic, while the frontend can be developed using HTML, CSS, and JavaScript.

This approach allows you to achieve similar functionality as Electron by using Python for the backend and web technologies for the frontend.

What programming language does Electron use?

Electron primarily uses JavaScript as its main programming language. The core of Electron is based on Chromium and Node.js, both of which are JavaScript-based technologies. Therefore, the majority of the application logic and UI development in Electron is done using JavaScript.

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  • Yaryna Ostapchuk

    I am an enthusiastic learner and aspiring Python developer with expertise in Django and Flask. I pursued my education at Ivan Franko Lviv University, specializing in the Faculty of Physics. My skills encompass Python programming, backend development, and working with databases. I am well-versed in various computer software, including Ubuntu, Linux, MaximDL, LabView, C/C++, and Python, among others.

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