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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | marimo | uv | Dagu |
|---|---|---|---|
| Platforms | Universal | Universal | Universal, MCP |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | Apache-2.0 | MIT OR Apache-2.0 | GPL-3.0 |
| Stars | 23382 | 91378 | 4509 |
| Last activity | October 29, 2026 | October 20, 2026 | October 28, 2026 |
| Install complexity | EASY | Easy on supported systems; Homebrew must already be installed for this command. Windows and standalone installation options are explained in the guide. | سهل للبداية؛ يحتاج ضبط أمان قبل المشاركة / Easy to start; security configuration required before sharing |
| Category | Workflow, Data | Workflow, DevOps | Workflow, DevOps, Monitoring |
| Best use | Ideal for a data analyst, Python developer, or small team that wants reproducible experiments, clear Git review, and an interactive report or internal tool from the same source. It is not a replacement for governed BI or a production service requiring enterprise scaling and permissions. | 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. | 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. |