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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | marimo | Task | Dagu |
|---|---|---|---|
| Platforms | Universal | Universal, GitHub | Universal, MCP |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | Apache-2.0 | MIT | GPL-3.0 |
| Stars | 23382 | 16319 | 4509 |
| Last activity | October 29, 2026 | — | October 28, 2026 |
| Install complexity | EASY | سهل / Easy | 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. | Best for a developer or small team whose project commands span languages, folders, and tools. It provides documented entry points that people and agents can use and review in Git. Existing scripts may be enough for a simple project; Task does not install project tools or sandbox their commands. | 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. |