Compare
Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | Dagu | uv | Lychee |
|---|---|---|---|
| Platforms | Universal, MCP | Universal | Universal |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | GPL-3.0 | MIT OR Apache-2.0 | MIT OR Apache-2.0 |
| Stars | 4491 | 91340 | 4064 |
| Last activity | October 28, 2026 | October 20, 2026 | October 26, 2026 |
| Install complexity | سهل للبداية؛ يحتاج ضبط أمان قبل المشاركة / Easy to start; security configuration required before sharing | Easy on supported systems; Homebrew must already be installed for this command. Windows and standalone installation options are explained in the guide. | — |
| Category | Workflow, DevOps, Monitoring | Workflow, DevOps | Testing, Workflow |
| Best use | Best for a developer or small team with connected scripts that need schedules, history, and a clear failure point. It adds dependencies, retries, and an operations UI without an external database in single-server mode. A simple independent command may not need it, and some team controls such as additional users, SSO, RBAC, and audit logging currently require a paid license. | For a Python developer or small team that wants a shared setup rather than relying on manually installed packages. Commit the dependency definition and lockfile, then sync the environment and run commands with uv. It does not isolate the operating system or untrusted code, or replace application compatibility tests. | 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. |