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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | Lychee | Miller | Task |
|---|---|---|---|
| Platforms | Universal | Universal, MCP, Claude Code, Codex, Cursor | Universal, GitHub |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | MIT OR Apache-2.0 | BSD-2-Clause | MIT |
| Stars | 4057 | 10051 | 16312 |
| Last activity | October 26, 2026 | October 21, 2026 | — |
| Install complexity | — | EASY | سهل / Easy |
| Category | Testing, Workflow | Workflow, Data | Workflow, 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 whose project commands span languages, folders, and tools. It provides documented entry points that people and agents can use and review in Git. Existing scripts may be enough for a simple project; Task does not install project tools or sandbox their commands. |