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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | marimo | Hurl | Dagu |
|---|---|---|---|
| Platforms | Universal | Universal | Universal, MCP |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | Apache-2.0 | Apache-2.0 | GPL-3.0 |
| Stars | 23382 | 19290 | 4509 |
| Last activity | October 29, 2026 | October 17, 2026 | October 28, 2026 |
| Install complexity | EASY | Easy; API and CLI knowledge required | سهل للبداية؛ يحتاج ضبط أمان قبل المشاركة / Easy to start; security configuration required before sharing |
| Category | Workflow, Data | Testing, 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 that wants repeatable API checks with explicit conditions stored beside the code. It links request data and identifies failing assertions without repeating manual inspection. It does not replace browser tests or test-environment setup; curl may be enough for a one-off request. | 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. |