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Python Online Compiler

Run Python 3.8-3.12 with file uploads, project folders, and popular libraries

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How to run Python code online

  1. 1

    Paste code or select an example

    Enter Python code in the editor, or quickly get started by selecting from preset examples like NumPy, Pandas, Matplotlib, etc.

  2. 2

    Choose the runtime version

    Use the toolbar to choose the Python and Pyodide runtime version before running code, from Python 3.8 through 3.12.

  3. 3

    Load required libraries and run

    If your code uses third-party libraries, you can open "Library Manager" to load the required packages; if a package is missing and causes an error, you can install it with one click and run again.

  4. 4

    View results and share

    After running, view results, errors, or Matplotlib charts in the output area, and you can copy the output, restore history, or generate a sharing link.

Features Overview

A free Python online compiler and Python Playground. Run Python code locally in your browser with Pyodide, with support for loading commonly used libraries like NumPy, Pandas, Matplotlib, Scikit-learn, and Requests on demand, without needing to install a local environment.

Tool Description

Free online Python compiler for 3.8-3.12. Upload CSV, Excel, fonts and .py files, manage project folders, use NumPy/Pandas/Matplotlib, and export ZIP.

Capabilities Checklist

  • Switches between real Python 3.8-3.12 Pyodide runtimes, ideal for learning, example verification, and quick experiments.
  • Includes 15+ popular Python libraries with support for loading NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, Requests, Beautiful Soup, and more.
  • Provides a library manager and quick preset combinations, automatically handling dependencies and displaying estimated load sizes.
  • Automatically detects missing packages and provides one-click install options, reducing troubleshooting costs after import errors.
  • Supports standard input, standard output, error output, and runtime warnings, with Matplotlib charts viewable directly in the results panel.
  • Offers 12+ preset examples, last 20 local history records, and sharing links for convenient teaching, debugging, and collaboration.
  • All code and data are executed locally in the browser without being uploaded to the server, making it suitable for privacy-sensitive scenarios.
  • Upload files, folders, and ZIP projects; manage the /project virtual filesystem in a collapsible tree; and read or generate files with relative paths.
  • Load Chinese fonts for Matplotlib from project files, download main.py, requirements.txt, or a project ZIP, and view a local PyInstaller build guide.

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Frequently Asked Questions

How do I run Python code online?
Paste Python code into the editor, or select a preset example first, then click "Run". The tool executes code locally in your browser and displays output, errors, or charts in real-time.
Does this Python online compiler support NumPy, Pandas, and Matplotlib?
Yes. The tool can load 15+ popular libraries including NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, Requests, Beautiful Soup, and more, suitable for scientific computing, data analysis, and visualization verification.
What should I do if I get a missing library error when importing?
When your code uses a library that hasn't been loaded, the tool automatically detects common missing packages and provides a one-click install option. You can also manually open "Library Manager" to search for and load the libraries you need.
How do I save, export, or share a Python project?
Code, uploaded files, and generated files are saved in the current browser. Download main.py, requirements.txt, or a complete project ZIP; code-sharing links contain only main.py and the Python version. For an executable, export the project and use PyInstaller on the target operating system; the browser cannot directly create a Windows EXE, macOS app, or Linux binary.
Will my code be uploaded to the server?
No. Python code, output, and most processing happen locally in your browser and are not actively uploaded to the server, making it suitable for debugging sensitive scripts or handling private data workflows.
Can I upload custom Python modules and project files such as CSV, Excel, or fonts?
Yes. The files panel supports single files, multiple files, folders, and ZIP archives while preserving their structure in /project. Python can read CSV, Excel, JSON, images, and fonts with relative paths and import project .py modules; Chinese Matplotlib fonts must be registered with font_manager.addfont().
What scenarios is this tool suitable for?
It's suitable for learning Python, verifying syntax, testing algorithms, teaching demonstrations, handling small-scale data, and quickly testing NumPy, Pandas, and Matplotlib code. For production deployment or long-running computation tasks, we recommend using a local or server environment.