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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | Miller | dsh-chrome | DuckDB |
|---|---|---|---|
| Platforms | Universal, MCP, Claude Code, Codex, Cursor | DeepSeek Harness | Universal |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | BSD-2-Clause | MIT | MIT |
| Stars | 10049 | 9 | 42448 |
| Last activity | October 21, 2026 | — | September 28, 2026 |
| Install complexity | EASY | متوسط / Moderate | سهل — حزمة Python أو ملف CLI تنفيذي واحد |
| Category | Workflow, Data | Browser Automation, Security | Database |
| Best use | 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 debugging a local or test web UI who wants a DSH agent to see the page and network evidence in the same session. It reduces manual copying and supports interactive inspection after an explicit request. Avoid it for sensitive production accounts or if broad browser permissions are unacceptable. | 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. |