Python
Sandbox

Execute Python code securely with real-time performance metrics, Big O complexity analysis, and optimized support for data science, visualization, and algorithm analysis in a safe sandboxed environment

🚀 Start Coding Now
Next.jsTypeScriptTailwind CSSMonaco Editor

Live Data Analysis

Python Code
import pandas as pd
data = {'name': ['Alice', 'Bob'], 'score': [95, 87]}
df = pd.DataFrame(data)
print
("Top score:", df['score'].max())
return
{winner: df.loc[df['score'].idxmax(), 'name']}
Execution Result
Stdout:
Top score: 95
Result:
{winner: "Alice"}

Why Python Sandbox?

Built for data scientists, developers, and learners who need a powerful yet safe Python environment

01

Monaco Code Editor

Professional Monaco Editor (same as VS Code) with Python syntax highlighting, IntelliSense autocomplete, and advanced code editing features for seamless development.

02

Data Science Ready

Pre-installed pandas, numpy, matplotlib, and scipy libraries. Perfect for Python data analysis, scientific computing, data visualization, and machine learning experiments online.

03

Performance Analytics

Real-time Big O complexity analysis, execution timing, memory usage, and detailed performance metrics for every code run.

04

Secure Python Sandbox

Secure server-side Python execution in nsjail isolated environments. Run untrusted code safely without affecting your local machine or system.

05

Algorithm Testing

Real-time Big O complexity analysis (O(1), O(n), O(n²), O(log n)) to test algorithms, understand performance, and optimize your Python code as you write.

06

nsjail Sandbox Security

Powered by nsjail sandboxing technology with strict CPU/memory resource limits, complete network isolation, and syscall restrictions for maximum secure code execution.

07

Python Library Ecosystem

15+ pre-installed Python libraries including pandas, numpy, matplotlib, scipy, requests, scikit-learn, and more for comprehensive data science and Python development online.