daytona

Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code

52.5k
Stars
+7.3k
Gained
16.2%
Growth
TypeScript
Language

💡 Why It Matters

Daytona addresses the challenge of securely executing AI-generated code, making it a vital tool for engineers working with AI applications. Backend/API teams and ML/AI teams benefit most from its capabilities, as it provides a production-ready solution for running complex AI workflows. With over 52,000 stars, Daytona demonstrates significant community interest and maturity, indicating it is suitable for production use. However, it may not be the right choice for teams requiring extensive customisation or those who need a lightweight solution for simpler tasks.

🎯 When to Use

Daytona is a strong choice when teams need a robust, secure infrastructure for running AI-generated code in production environments. Teams should consider alternatives if they require a simpler setup or if their projects do not involve complex AI workflows.

👥 Team Fit & Use Cases

Daytona is primarily used by backend/API teams, DevOps/platform teams, and ML/AI teams. It is typically integrated into products and systems that involve AI code execution, such as AI-driven applications and developer tools.

🎭 Best For

🏷️ Topics & Ecosystem

agentic-workflow ai ai-agents ai-runtime ai-sandboxes code-execution code-interpreter developer-tools

📊 Activity

Latest commit: 2026-02-02. Over the past 23 days, this repository gained 7.3k stars (+16.2% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.