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Securely run Python code in a sandbox and return execution results.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "py-sandbox" yet — see the docs or source repo.
Please use the Python sandbox to read this CSV text, calculate the mean, maximum, and missing-value count for each column, and return the results in a table: name,score,age A,88,20 B,92,21 C,,19
A computed summary table with key findings from the execution.
Please run the following function in the restricted Python environment, add several test cases, and tell me whether the outputs match expectations; if not, explain the issue and fix it:
def fib(n):
if n <= 1:
return 1
return fib(n-1) + fib(n-2)Test results, issue analysis, and corrected runnable code.
Please use the Python sandbox to generate a line chart from the following sales data and summarize the trend: Jan 120, Feb 135, Mar 128, Apr 160, May 172, Jun 168.
A chart result or visualization description with a brief trend analysis.
Give AI agents authenticated sandbox access and a restricted path for safe production deploys.
Safely run Python code, capture output, and generate charts.
Safely run Python snippets in a sandbox for analysis and quick validation.
Provide AI agents a local isolated Linux sandbox for fast, safe commands.
Run Python code securely in a sandbox and return results and files.
Run Python code securely with inline dependencies for fast experiments and analysis.