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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | DuckDB | Hurl | Miller |
|---|---|---|---|
| Platforms | Universal | Universal | Universal, MCP, Claude Code, Codex, Cursor |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | MIT | Apache-2.0 | BSD-2-Clause |
| Stars | 42451 | 19271 | 10049 |
| Last activity | September 28, 2026 | October 17, 2026 | October 21, 2026 |
| Install complexity | سهل — حزمة Python أو ملف CLI تنفيذي واحد | Easy; API and CLI knowledge required | EASY |
| Category | Database | Testing, DevOps | Workflow, Data |
| Best use | 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. | 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. | 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. |