Compare
Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | Lychee | DuckDB | act |
|---|---|---|---|
| Platforms | Universal | Universal | GitHub |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | MIT OR Apache-2.0 | MIT | MIT |
| Stars | 4057 | 42657 | 72471 |
| Last activity | October 26, 2026 | September 28, 2026 | — |
| Install complexity | — | سهل — حزمة Python أو ملف CLI تنفيذي واحد | — |
| Category | Testing, Workflow | Database | Testing, Git, DevOps |
| Best use | For documentation authors and small teams checking references locally or in CI. Start with a specific file and interpret findings; it does not establish complete site or login functionality. | Best for an analyst, developer, or small team that needs to inspect and join large data files and rerun analysis locally. It adds reviewable SQL without database-server setup. It is not a multi-user transactional database for many small concurrent writes from separate processes. | Best for a developer or small team that repeatedly edits GitHub Actions workflows and wants to test a job before pushing. It provides a local run log, while a final GitHub check remains necessary. It is not suitable when exact hosted-runner parity is required. |