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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | marimo | Hurl | goose |
|---|---|---|---|
| Platforms | Universal | Universal | Universal, MCP |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | Apache-2.0 | Apache-2.0 | Apache-2.0 |
| Stars | 23382 | 19290 | 56014 |
| Last activity | October 29, 2026 | October 17, 2026 | October 23, 2026 |
| Install complexity | EASY | Easy; API and CLI knowledge required | MEDIUM |
| Category | Workflow, Data | Testing, DevOps | Code Review, Multi-Agent, Workflow |
| 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 individual developer or small team that wants an AI agent to complete an inspectable task in a working copy: understand files, make a bounded change, and run a test. Start with manual approval and scope the folder and tools. Do not give it broad access to production or sensitive data. |