Is PyRun completely free to use?

Yes — PyRun is entirely free. There is no sign-up, no subscription, and no hidden limit. You can write and run Python code as many times as you like without creating an account.

Does PyRun work without an internet connection?

After the first load, PyRun continues to work offline. The Python engine (Pyodide) is cached locally by your browser, so you can keep coding even when you have no internet access. Some features like link sharing require a connection.

Which version of Python does PyRun use?

PyRun runs Python 3.11 via Pyodide, a port of CPython compiled to WebAssembly. You get access to the full Python standard library, including modules like math, json, datetime, itertools, and more.

Is my code private? Does PyRun store what I write?

Your code never leaves your device unless you explicitly generate a public share link. All execution happens entirely inside your browser sandbox. PyRun has no server that receives or stores your code.

Can I use PyRun on a phone or tablet?

Yes. PyRun is built with a responsive layout and works on mobile browsers. The interface adapts to smaller screens, switching to a stacked layout so both the editor and output terminal remain accessible.

Can I import and open my own Python files?

Absolutely. You can open any .py file from your device using the toolbar button or with the Ctrl+O keyboard shortcut. The file loads directly into the editor, ready to run.

How do I share my code with someone else?

Use the Share button in the toolbar or press Ctrl+H. PyRun generates a unique URL that encodes your code. Anyone with the link can open it in their browser and see (or run) the exact same code.

Does PyRun support the input() function?

Yes. PyRun has full support for Python's built-in input() function. When your code reaches an input() call, the terminal prompts you to type a response, just as it would in a local terminal.

matplotlib

Data

Chart rendering

Try matplotlib in PyRun

What is matplotlib?

Matplotlib is Python's most widely used plotting library. It lets you create publication-quality 2D charts — bar charts, line plots, scatter plots, histograms, pie charts, and much more — with just a few lines of code. Matplotlib integrates tightly with NumPy and Pandas, making it the default visualisation layer for nearly all data science workflows.

PyRun renders Matplotlib charts directly in the browser inside a dedicated GRAPHS tab. When your code calls plt.show(), PyRun intercepts the figure and displays it as a crisp SVG alongside your terminal output. There's no need for a Jupyter notebook or a local display server — just write your plotting code and run it.

Code Example

Renders a chart in the GRAPHS tab.

Matplotlib Bar Chart

Try in Editor

import matplotlib.pyplot as plt
import numpy as np

langs = ['Python', 'JavaScript', 'TypeScript', 'Rust', 'Go']
scores = [95, 88, 82, 78, 75]
colors = ['#0D9488', '#F59E0B', '#3B82F6', '#EF4444', '#8B5CF6']

fig, ax = plt.subplots(figsize=(8, 5))
bars = ax.bar(langs, scores, color=colors, edgecolor='none', width=0.6)
ax.set_title('Language Popularity Index 2025', fontsize=14, fontweight='bold', pad=15)
ax.set_ylabel('Score', fontsize=11)
ax.set_ylim(60, 100)
ax.spines[['top', 'right']].set_visible(False)
for bar, score in zip(bars, scores):
    ax.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.5,
            str(score), ha='center', va='bottom', fontweight='bold')
plt.tight_layout()
plt.show()

Why run matplotlib in PyRun?

✦ Zero setup — no pip install, no virtual environment, no Python download
✦ Instant results — powered by WebAssembly, runs locally in your browser
✦ Share your code — generate a link and anyone can run it instantly
✦ Works offline — after first load, PyRun runs without internet

Open editor with matplotlib example

Related Packages

numpy

Numerical computing

pandas

Data manipulation

scipy

Scientific computing

All packages Open Editor