What Python version is used?

Python 3.11 running via Pyodide (Python compiled to WebAssembly). This is real Python, not a simulation, with full language support.

What packages are available?

NumPy is pre-loaded. You can install pandas, scipy, sympy, matplotlib, networkx, pillow, beautifulsoup4, and more via the Packages menu or using micropip.install("package_name").

Why is the first load slow?

The Python runtime (~8MB) needs to be downloaded on first visit. It is cached in your browser for future visits and works offline after that.

Are there any limitations?

30-second execution timeout, no file persistence between runs, no network requests (for security), and some packages may not work in WebAssembly. These limitations ensure security and stability.

Can I use pandas or matplotlib?

Yes! Click "Packages" and install them, or use micropip.install("pandas"). Pandas works great. Matplotlib has limited browser support but basic plots work.

Yes, all code runs locally in your browser via WebAssembly. Nothing is ever sent to our servers. Your code stays on your device.

Does it work offline?

Yes! After the first load, the Python runtime is cached and works completely offline. Perfect for coding without internet.

Can I use machine learning libraries?

scikit-learn can be installed but is large and slow to load. For serious ML work, we recommend a local Python installation. The playground is great for learning and small experiments.

How do I install additional packages?

Use the Packages menu for common packages, or run: import micropip; await micropip.install("package_name"). Not all PyPI packages are compatible with Pyodide.

Can I read/write files?

Pyodide has a virtual file system, but files do not persist between sessions. For file operations, download your results or use the browser's localStorage via JavaScript interop.

Why is there a 30-second timeout?

The timeout prevents infinite loops and long-running code from freezing your browser. For most learning and testing scenarios, 30 seconds is plenty.

Can I share my Python code?

Yes! Click Share to copy a URL containing your code. Anyone with the link can view, edit, and run your Python code instantly.

What Python version is used?

Python 3.11 running via Pyodide (Python compiled to WebAssembly). This is real Python, not a simulation, with full language support.

What packages are available?

NumPy is pre-loaded. You can install pandas, scipy, sympy, matplotlib, networkx, pillow, beautifulsoup4, and more via the Packages menu or using micropip.install("package_name").

Why is the first load slow?

The Python runtime (~8MB) needs to be downloaded on first visit. It is cached in your browser for future visits and works offline after that.

Are there any limitations?

30-second execution timeout, no file persistence between runs, no network requests (for security), and some packages may not work in WebAssembly. These limitations ensure security and stability.

Can I use pandas or matplotlib?

Yes! Click "Packages" and install them, or use micropip.install("pandas"). Pandas works great. Matplotlib has limited browser support but basic plots work.

Yes, all code runs locally in your browser via WebAssembly. Nothing is ever sent to our servers. Your code stays on your device.

Does it work offline?

Yes! After the first load, the Python runtime is cached and works completely offline. Perfect for coding without internet.

Can I use machine learning libraries?

scikit-learn can be installed but is large and slow to load. For serious ML work, we recommend a local Python installation. The playground is great for learning and small experiments.

How do I install additional packages?

Use the Packages menu for common packages, or run: import micropip; await micropip.install("package_name"). Not all PyPI packages are compatible with Pyodide.

Can I read/write files?

Pyodide has a virtual file system, but files do not persist between sessions. For file operations, download your results or use the browser's localStorage via JavaScript interop.

Why is there a 30-second timeout?

The timeout prevents infinite loops and long-running code from freezing your browser. For most learning and testing scenarios, 30 seconds is plenty.

Can I share my Python code?

Yes! Click Share to copy a URL containing your code. Anyone with the link can view, edit, and run your Python code instantly.

Python Playground

medium

Run Python 3.11 code online in your browser using Pyodide (WebAssembly). NumPy pre-loaded, install pandas, scipy, and more. Free Python compiler with console output and code sharing. No installation required.

Compilers & Playgroundspythonpycompilerplayground

100% Private - Runs Locally

How to Use

1Write Python code in the syntax-highlighted editor
2Press Ctrl+Enter or click Run to execute your code
3View output in the Console panel
4NumPy is pre-loaded - just import numpy as np
5Click "Packages" to install pandas, scipy, and more
6Select from 10+ examples covering Python concepts
7Share your code via URL or download as .py file
8Use micropip.install("package") for other packages

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