Editor

Run Python Online: Instant Execution, Zero Setup

Press Ctrl+Enter and see the output. Python 3.13 with NumPy, Pandas and Matplotlib, in your browser.

Run Python Now

Run Python in 3 Seconds

Open pythoncompiler.io, type or paste your Python code, and press Ctrl + Enter. Output appears in the panel below the editor.

Python 3.13 runs in your browser, on your own machine, so there is no server queue and no account to create. Your code is saved in the browser as you type, so it is still there when you come back.

What You Can Run

Python 3.13 with the complete standard library, plus the main data science packages:

  • Core Python - the whole language, from loops and functions to classes, decorators and generators.
  • Data science - import numpy, import pandas, import matplotlib.pyplot as plt - each loads automatically the first time you import it.
  • File operations - read and write files using Python's built-in open() function. Files live in the browser's virtual filesystem.
  • Multi-file projects - create several .py files in tabs and import one from another.

Example: quick Pandas + Matplotlib workflow

import pandas as pd
import matplotlib.pyplot as plt

# Create a simple dataset
data = pd.DataFrame({
    'month': ['Jan', 'Feb', 'Mar', 'Apr', 'May'],
    'sales': [120, 135, 148, 162, 155]
})

# Plot it
plt.figure(figsize=(8, 4))
plt.bar(data['month'], data['sales'], color='#3572A5')
plt.title('Monthly Sales')
plt.ylabel('Units Sold')
plt.show()
Open in the editor

What it looks like

The editor running a program that asks for a name and an age, with the answers typed in the console and the reply printed under themThe editor running a program that asks for a name and an age, with the answers typed in the console and the reply printed under them
  1. Run, or press Ctrl+Enter.
  2. input() waits in the console for your answer.
  3. Output appears as the program prints it.
  4. Share makes a link anyone can open and run, handy when you ask someone about a bug.
  5. Python runs in this browser tab, on Windows, Mac, Linux, Chromebooks and tablets: nothing to install, and the code stays on your device.

Popular Libraries Available

These load automatically the first time you import them, which takes a few seconds, and stay loaded after that.

The data science core

NumPy

Arrays, linear algebra, random numbers, mathematical functions

Pandas

DataFrames, CSV/JSON parsing, data manipulation, time series

Matplotlib

Line charts, bar charts, scatter plots, histograms, subplots

Also loaded on import, among hundreds more

  • scikit-learn
  • SciPy
  • statsmodels
  • seaborn
  • SymPy
  • NetworkX
  • Pydantic
  • Pillow
  • Beautiful Soup
  • lxml
  • sqlite3

Other pure Python packages can be added with Install Custom in the editor's Packages panel.

Frequently asked questions

How do I run Python code online?
Go to pythoncompiler.io, type or paste your Python code into the editor, and press Ctrl + Enter (or Cmd + Enter on Mac). Output appears below the editor. No account or installation needed.
Is it free to run Python online?
Yes, with no usage limits, no paid tier and no time limits.
What Python version does this use?
Python 3.13, the standard CPython interpreter, running in your browser. The complete standard library is available, including modules like json, re, collections, itertools, and datetime.
Can I run Python with NumPy and Pandas online?
Yes. Write import numpy as np or import pandas as pd as usual and the library loads the first time. scikit-learn, SciPy, statsmodels and hundreds of other packages load the same way. See the Pandas tutorial or running Pandas online guide to get started.
Is my code saved?
Yes. Your code saves in your browser as you type, so your files are still there after you close the tab or restart your computer.
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More: Python Tutorials · Python IDE Online · Python Editor · Getting Started · Run Pandas Online