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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | Miller | DuckDB | dsh-task-board |
|---|---|---|---|
| Platforms | Universal, MCP, Claude Code, Codex, Cursor | Universal | DeepSeek Harness |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | BSD-2-Clause | MIT | Apache-2.0 |
| Stars | 10049 | 42448 | 9384 |
| Last activity | October 21, 2026 | September 28, 2026 | — |
| Install complexity | EASY | سهل — حزمة Python أو ملف CLI تنفيذي واحد | Intermediate |
| Category | Workflow, Data | Database | Multi-Agent, Workflow |
| 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 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 using DSH for recurring or connected work and wanting task state and execution evidence in one record. It pins the project, agent preset, and permission, then runs manually or through Host cron with a human gate for elevated access. It is not a fit for a frequently sleeping machine or unreviewed sensitive automation. |