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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | marimo | Hurl | DuckDB |
|---|---|---|---|
| Platforms | Universal | Universal | Universal |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | Apache-2.0 | Apache-2.0 | MIT |
| Stars | 23382 | 19290 | 42704 |
| Last activity | October 29, 2026 | October 17, 2026 | September 28, 2026 |
| Install complexity | EASY | Easy; API and CLI knowledge required | سهل — حزمة Python أو ملف CLI تنفيذي واحد |
| Category | Workflow, Data | Testing, DevOps | Database |
| 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 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. |