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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | SOPS | Miller | DuckDB |
|---|---|---|---|
| Platforms | Universal | Universal, MCP, Claude Code, Codex, Cursor | Universal |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | MPL-2.0 | BSD-2-Clause | MIT |
| Stars | 23593 | 10055 | 42764 |
| Last activity | October 27, 2026 | October 21, 2026 | September 28, 2026 |
| Install complexity | MODERATE | EASY | سهل — حزمة Python أو ملف CLI تنفيذي واحد |
| Category | Security, DevOps | Workflow, Data | Database |
| Best use | Ideal for a developer or small platform team that wants encrypted configuration beside code with readable Git diffs. Use it for YAML, JSON, ENV and INI files and tightly scoped CI or runtime access. It is not a replacement for dynamic secret issuance or source-system credential rotation. | 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. |