Compare
Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | DuckDB | Miller | Gatus |
|---|---|---|---|
| Platforms | Universal | Universal, MCP, Claude Code, Codex, Cursor | Universal |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | MIT | BSD-2-Clause | Apache-2.0 |
| Stars | 42451 | 10049 | 12381 |
| Last activity | September 28, 2026 | October 21, 2026 | September 24, 2026 |
| Install complexity | سهل — حزمة Python أو ملف CLI تنفيذي واحد | EASY | سهل إلى متوسط / Easy to moderate |
| Category | Database | Workflow, Data | Security, DevOps |
| 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. | 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 an individual developer or small team that wants self-hosted website, API, DNS, and certificate checks with a status page and threshold-based alerts. It combines active checks and simple history in one service. It does not replace resource monitoring, logs, or distributed tracing. |