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.

sympy

Science

Symbolic math

Try sympy in PyRun

What is sympy?

SymPy is a Python library for symbolic mathematics. Unlike NumPy and SciPy which work with numerical approximations, SymPy manipulates mathematical expressions algebraically — it can expand polynomials, factor expressions, compute exact derivatives and integrals, solve equations, and work with matrices symbolically.

Running SymPy in PyRun is especially useful for students studying calculus, algebra, or differential equations. You can verify manual calculations, explore symbolic patterns, and get exact answers rather than floating-point approximations — all without installing anything on your machine.

Code Example

Symbolic expansion, differentiation, integration.

SymPy Algebra & Calculus

Try in Editor

import sympy as sp

x, y = sp.symbols('x y')

# Expand and factor
expr = (x + y)**3
print("Expanded (x+y)³:", sp.expand(expr))
print("Factored back:",    sp.factor(sp.expand(expr)))

# Calculus
f = sp.sin(x) * sp.exp(x)
print("\nf(x) =", f)
print("f'(x) =", sp.diff(f, x))
print("∫f dx  =", sp.integrate(f, x))

# Solve equation
eq = sp.Eq(x**2 - 5*x + 6, 0)
print("\nSolve x²-5x+6=0:", sp.solve(eq, x))

Why run sympy 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 sympy example

Related Packages

scipy

numpy

All packages Open Editor