Execute Python code securely in a sandbox environment, with options for pip install commands, JSON parsing, timeout, memory allocation, and saving output files.
Execute Python code in a secure sandbox environment to test scripts, analyze data, or run computational tasks with libraries like numpy, pandas, and matplotlib.
Execute Python code in a secure sandbox with context-aware enhancements for tasks like data science, automation, and testing using built-in preferences on Gemini.
An interactive Python code execution environment that allows users and LLMs to safely execute Python code and install packages in isolated Docker containers.
Enables LLM agents to execute arbitrary Python code in secure, isolated sandbox environments with automatic dependency management and file handling. Each code execution runs in a fresh virtual environment that gets destroyed after completion, providing safe and reproducible Python code execution.