Cua vs Daytona
Side-by-side comparison of two AI agent tools
Short answer
- Cua is growing faster: +2,970 GitHub stars in the last 30 days vs +15 for Daytona.
- Pick Cua for: scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation. Pick Daytona for: daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code.
From GitHub data refreshed daily.
C
Cuaopen-source
Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.
D
Daytonaopen-source
Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code
Metrics
| Cua | Daytona | |
|---|---|---|
| Stars | 27.7k | 71.7k |
| Star velocity /mo | 3.0k | 15 |
| Commits (90d) | 1.4k | 0 |
| Releases (6m) | 10 | 10 |
| Overall score | 0.9092592394174208 | 0.3519103200564768 |
FAQ
- Which is more popular, Cua or Daytona?
- Daytona has more GitHub stars (71,676 vs 27,747).
- Which is more actively developed, Cua or Daytona?
- Cua had more commits in the last 90 days (1,409 vs 0).
- Should I use Cua or Daytona?
- 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.