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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | DuckDB | dsh-session-archive | Miller |
|---|---|---|---|
| Platforms | Universal | DeepSeek Harness | 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 | 9384 | 10049 |
| Last activity | September 28, 2026 | September 26, 2026 | October 21, 2026 |
| Install complexity | سهل — حزمة Python أو ملف CLI تنفيذي واحد | Easy | EASY |
| Category | Database | Memory, Security, Workflow | 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. | Use it when DSH sessions pile up and you need to identify old work, archive it first, then safely remove what is no longer needed while protecting running sessions. It fits recurring cleanup and finished projects; do not enable automatic deletion before previewing the policy and checking backups. | 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. |