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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | Hurl | goose | Miller |
|---|---|---|---|
| Platforms | Universal | Universal, MCP | Universal, MCP, Claude Code, Codex, Cursor |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | Apache-2.0 | Apache-2.0 | BSD-2-Clause |
| Stars | 19271 | 55590 | 10049 |
| Last activity | October 17, 2026 | October 23, 2026 | October 21, 2026 |
| Install complexity | Easy; API and CLI knowledge required | MEDIUM | EASY |
| Category | Testing, DevOps | Code Review, Multi-Agent, Workflow | Workflow, Data |
| Best use | 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. | Ideal for developers, data analysts, and operators who need to clean a CSV export, inspect JSON Lines, or summarize a large file from the terminal without starting a Python project. Use it for quick, repeatable file processing; concurrent transactions and advanced visual analysis still call for a database or complementary analytics tool. |