Sealos vs Daytona
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Sealos
Kubernetes cloud OS you drive with a prompt instead of YAML
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Daytona
Sub-100ms sandboxes for AI agents that write and run code
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| RECATOOLS Score | 7.1 / 10 | 7.6 / 10 |
| Capability | ||
| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Freemium | Open Source |
| Free tier | — | — |
| Paid from | — | — |
| Has API | ✓ | ✓ |
| Open source | ✓ | ✓ |
| Free to use | ✓ | ✓ |
| Users | — | — |
| Founded | 2018 | 2023 |
| Maker | — | — |
| Verdict | Sealos strips away Kubernetes' YAML tax: DevBox environments connect straight to your IDE, databases spin up managed and ready, and a prompt-to-deploy layer lets you describe what you want instead of writing manifests. F... |
Daytona pivoted from a Docker-based dev-environment tool into infrastructure for running AI-generated code, and the pivot worked: boot times under 90ms, persistent state between agent runs, and SDKs for Python, TypeScrip... |
| Full review → | Full review → |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.