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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | Miller | restic | uv |
|---|---|---|---|
| Platforms | Universal, MCP, Claude Code, Codex, Cursor | Universal | Universal |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | BSD-2-Clause | BSD-2-Clause | MIT OR Apache-2.0 |
| Stars | 10049 | 36753 | 91072 |
| Last activity | October 21, 2026 | September 25, 2026 | October 20, 2026 |
| Install complexity | EASY | متوسط: CLI ومستودع وجدولة منفصلة / Moderate: CLI, repository, and separate scheduling | Easy on supported systems; Homebrew must already be installed for this command. Windows and standalone installation options are explained in the guide. |
| Category | Workflow, Data | Security, DevOps | Workflow, DevOps |
| 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 individual developer or small team that needs encrypted, testable backups of project files and exported database dumps. It works with local or remote storage and can be scheduled by the operating system. It does not replace application-consistent database exports or recovery testing. | For a Python developer or small team that wants a shared setup rather than relying on manually installed packages. Commit the dependency definition and lockfile, then sync the environment and run commands with uv. It does not isolate the operating system or untrusted code, or replace application compatibility tests. |