main.py
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# Online Python - IDE, Editor, Compiler, Interpreter
import random
def play_game():
    print("🚀 Welcome to your Python playground!")
    print("Environment ready. Try the interactive features...")
    
    secret_number = random.randint(1, 10)
    attempts = 0
    
    print("🧠 I have generated a random number between 1 and 10.")
    
    while True:
        try:
            user_input = input("👉 Please guess a number (enter 'q' to quit): ")
            
            if user_input.lower() == 'q':
                print("👋 Session ended. Clear the editor and write your own code!")
                break
            
            guess = int(user_input)
            attempts += 1
            
            if guess < secret_number:
                print("📉 Too low! Try a higher number.")
            elif guess > secret_number:
                print("📈 Too high! Try a lower number.")
            else:
                print(f"🎉 Congratulations! Spot on! The number was {secret_number}")
                print(f"🏆 You found it in {attempts} attempts.")
                print("✨ Interactive test passed! Start exploring Python now!")
                break
        except ValueError:
            print("⚠️ Please enter a valid number, or 'q' to quit.")
if __name__ == "__main__":
    play_game()
TerminalPython 3.13.2 · Pyodide 0.29.3
Run your code to see output here.

You Only Focus On Coding

Code execution previewCode execution preview

With no environment setup required, OnlinePy automatically executes your code and intelligently installs the necessary dependencies, allowing you to truly immerse yourself in a seamless programming experience.

Code Run History

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Automatic logging with every run and one-click rollback at any point in time turn every debugging session into a reusable learning experience.

Embed OnlinePy in Your Website

Add a fully functional Python IDE to your blog, docs, or course page with just two lines of code. No backend required — Python runs entirely in the browser.

1JS SDK (Recommended)

Add the script once, then use the custom element anywhere.

<script src="https://onlinepy.com/embed.js"></script>

<onlinepy-ide
  code="print('Hello!')"
  style="width:100%;height:400px">
</onlinepy-ide>

2iframe

Simple and framework-agnostic. Just paste and go.

<iframe
  src="https://onlinepy.com/embed/?raw=print('Hello!')"
  style="width:100%;height:400px;border:0;border-radius:8px"
  allow="cross-origin-isolated">
</iframe>
No backend needed
NumPy, Pandas, Matplotlib support
Multi-file via share ID
Light & dark theme
Free & no ads

Run Python in your browser.

No installation. No login. No ads. Just a clean, powerful Python IDE that runs entirely on your device.

100% Private

Code runs locally in your browser.

Instant Execution

Runs locally via WebAssembly. No server delay, zero network latency.

No Login Required

Start coding instantly. No account, no email, no friction.

4GB Memory

Up to ~4GB WebAssembly heap for heavy computations.

Code to Image

Export code with syntax highlighting and terminal output as beautiful images.

No Ads

Clean, distraction-free coding environment.

Data Science Ready

Full Pyodide-powered support for popular data science libraries. Analyze and visualize data directly in your browser.

NumPyPandasMatplotlibSciPyscikit-learn

Use Cases

✓Test code snippets without IDE setup
✓Learn Python with zero configuration
✓Run data analysis and visualization
✓Prepare for coding interviews
✓Explore private datasets securely
✓Teach Python without installation

OnlinePy vs Others

Execution
Local browser (WASM)
Remote server
Privacy
Execution is local
Code uploaded to server
Speed
Instant, no network
Network dependent
Login
Not needed
Often required
Ads
None
Common
Code to Image
Yes, with output
Rarely

FAQ

Does OnlinePy send my code to a server?▼
No. All execution happens locally in your browser using WebAssembly. Your code stays on your device — unless you explicitly use the Share feature to generate a shareable link.
How fast is it?▼
Typically 70–90% of native speed. Since there is no network round-trip, execution feels instant.
Can I use NumPy and Pandas?▼
Yes. Full Pyodide-powered NumPy, Pandas, Matplotlib, SciPy, and scikit-learn support.
Can I export my code as an image?▼
Yes. Export code with syntax highlighting, gradient backgrounds, and terminal output — perfect for sharing.
Learn more about our technology →