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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | marimo | uv | D2 |
|---|---|---|---|
| Platforms | Universal | Universal | Universal |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | Apache-2.0 | MIT OR Apache-2.0 | MPL-2.0 |
| Stars | 23382 | 91378 | 25772 |
| Last activity | October 29, 2026 | October 20, 2026 | October 11, 2026 |
| Install complexity | EASY | Easy on supported systems; Homebrew must already be installed for this command. Windows and standalone installation options are explained in the guide. | Easy with a supported package manager; Homebrew must already be installed for this command. Official binaries, Windows, Linux, and source options are documented. |
| Category | Workflow, Data | Workflow, DevOps | Workflow, UI |
| Best use | Ideal for a data analyst, Python developer, or small team that wants reproducible experiments, clear Git review, and an interactive report or internal tool from the same source. It is not a replacement for governed BI or a production service requiring enterprise scaling and permissions. | 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. | For developers and small teams that want architecture and data-flow diagrams close to the repository and reviewable as text. Use it when relationships matter more than pixel-perfect placement; not for free-form marketing design or exact manual positioning. |