Online Python IDE (Pyodide)

• 1. Write your code — type or paste Python code in the editor on the left. Syntax highlighting, auto-indentation, and bracket matching are built in.
• 2. Run it — click the green Run button or press Ctrl + Enter. Output appears in the terminal on the right. Errors are shown in red with clear tracebacks.
• 3. Install packages — click the icon to open the package manager. Type a package name (e.g. numpy) and click Install. Or simply import it in your code — missing packages are detected and installed automatically.
• 4. Create multiple files — click the + tab above the editor to add files. Name them anything (e.g. utils.py) and import between them with standard Python syntax.
• 5. Visualize data — use matplotlib or plotly to create charts. Call plt.show() or fig.show() and plots render inline above the terminal.
• 6. Interactive input — input() works naturally. A prompt dialog appears when your code requests user input, and execution resumes with your response.
• 7. Save your work — click the icon (or press F9) to download your code as a file to your computer.
• 8. Open files — click the icon to load a .py file from your computer into the editor.
• 9. Customize the editor — click to change the theme, font size, tab width, and other editor settings. Toggle between vertical and horizontal split layouts with the button.
• 10. Stop execution — if your code runs too long or enters an infinite loop, click the red Stop button to interrupt it immediately.

How It Works

When you click Run, your code is executed by the CPython interpreter compiled to WebAssembly. Pyodide runs inside a Web Worker, which means your code executes on a background thread — the browser UI stays fully responsive even during heavy computation or large package installations. The Python runtime, standard library modules, and installed packages all live in your browser's memory. There's no compilation step, no server communication, and no waiting for remote execution.

Privacy & Security

Your code never leaves your browser. Nothing is uploaded, stored, transmitted, or processed on any server. Every aspect — code execution, file handling, package downloads, and output rendering — happens entirely within your browser tab. Package installations fetch directly from CDN and PyPI to your browser. When you close or refresh the page, everything is gone. This makes it ideal for working with sensitive data, proprietary algorithms, or any code you want to keep completely private.

Package Ecosystem

Pyodide ships with a rich set of pre-built scientific packages compiled to WebAssembly, including NumPy, Pandas, Matplotlib, SciPy, scikit-learn, Plotly, SymPy, NetworkX, Pillow, and many more. Missing packages are automatically detected and installed when your code imports them — no manual setup needed. Additionally, any pure Python package on PyPI can be installed on-the-fly via micropip. Use the built-in package manager ( icon) to browse, install, and manage packages.

View the complete list of available packages

Graphical Output & Visualization

Create rich visualizations directly in the browser. Matplotlib plots are rendered as high-quality PNG images with a clean light theme, displayed inline above the terminal output. Plotly charts render as fully interactive HTML — you can zoom, pan, hover for tooltips, and export images. Simply use plt.show() or fig.show() as you normally would. Multiple plots in a single run are displayed sequentially. This makes the environment perfect for data exploration, scientific visualization, and creating presentation-ready charts.

Multi-File Projects

Build real projects with multiple files. Click the + button to create new files, name them as you wish, and import between them using standard Python import syntax — from mymodule import my_function works seamlessly. All files are written to a virtual filesystem before execution, so relative imports and cross-file references behave exactly as they would in a local Python project. This is perfect for organizing larger programs, separating utilities from main logic, or experimenting with modular code design.

Interactive Input

Python's built-in input() function is fully supported. When your code calls input(), a modal dialog appears for you to type your response, and execution continues seamlessly. This enables interactive programs, command-line-style menus, games, quizzes, and any code that requires user input during runtime.