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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | Lychee | Miller | Hurl |
|---|---|---|---|
| Platforms | Universal | Universal, MCP, Claude Code, Codex, Cursor | Universal |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | MIT OR Apache-2.0 | BSD-2-Clause | Apache-2.0 |
| Stars | 4057 | 10051 | 19282 |
| Last activity | October 26, 2026 | October 21, 2026 | October 17, 2026 |
| Install complexity | — | EASY | Easy; API and CLI knowledge required |
| Category | Testing, Workflow | Workflow, Data | Testing, DevOps |
| Best use | For documentation authors and small teams checking references locally or in CI. Start with a specific file and interpret findings; it does not establish complete site or login functionality. | 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. | 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. |