Daytona vs OpenSandbox
Side-by-side comparison of two AI agent tools
Short answer
- OpenSandbox is growing faster: +360 GitHub stars in the last 30 days vs +0 for Daytona.
- Pick Daytona for: daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code. Pick OpenSandbox for: secure, Fast, and Extensible Sandbox runtime for AI agents.
From GitHub data refreshed daily.
D
Daytonaopen-source
Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code
O
OpenSandboxopen-source
Secure, Fast, and Extensible Sandbox runtime for AI agents.
Metrics
| Daytona | OpenSandbox | |
|---|---|---|
| Stars | 71.7k | 15.7k |
| Star velocity /mo | 0 | 360 |
| Commits (90d) | 0 | 1.5k |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | — | 372.2K |
| Overall score | 0.26324271221382306 | 0.8167282211378699 |
FAQ
- Which is more popular, Daytona or OpenSandbox?
- Daytona has more GitHub stars (71,675 vs 15,653).
- Which is more actively developed, Daytona or OpenSandbox?
- OpenSandbox had more commits in the last 90 days (1,532 vs 0).
- Should I use Daytona or OpenSandbox?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.