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Ai Sandbox Benchmark

AI community

Description

[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](LICENSE)

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

AI Sandbox Benchmark

[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](LICENSE) [![Python Versions](https://img.shields.io/badge/python-3.12%2B-blue)](https://www.python.org/) [![GitHub stars](https://img.shields.io/github/stars/nkkko/ai-sandbox-benchmark.svg)](https://github.com/nkkko/ai-sandbox-benchmark/stargazers) [![GitHub forks](https://img.shields.io/github/forks/nkkko/ai-sandbox-benchmark.svg)](https://github.com/nkkko/ai-sandbox-benchmark/network) [![GitHub issues](https://img.shields.io/github/issues/nkkko/ai-sandbox-benchmark.svg)](https://github.com/nkkko/ai-sandbox-benchmark/issues) [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](CONTRIBUTING.md) [![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)](https://github.com/nkkko/ai-sandbox-benchmark/graphs/commit-activity)

Welcome to **AI Sandbox Benchmark** – an open-source, standardized benchmarking framework designed to evaluate and compare various code execution sandbox environments like Daytona, e2b, CodeSandbox, Modal, and others.

**⚠️ Disclaimer:** This project is a work in progress and proof of concept. We are actively working on optimizing performance, improving test coverage, and enhancing the overall user experience. Feedback and contributions are highly welcome!

Whether you're a developer looking to choose the best sandbox for your projects or a contributor aiming to enhance the benchmarking suite, this project is for you!

![AI Sandbox Benchmark TUI](assets/tui-screenshot.jpg)

🏃 Quick Start

Installation

# Clone the repository
git clone https://github.com/nkkko/ai-sandbox-benchmark.git
cd ai-sandbox-benchmark

# Set up a virtual environment (recommended)
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Configure providers
# See providers/README.md for detailed setup instructions

Running Benchmarks

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