Project comparison
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Best matched with other platform tools.
Learn how to develop, deploy and iterate on production-grade ML applications.
Best matched with other platform tools.
Made With ML has the larger GitHub footprint with 48.8K stars.
Made With ML is currently growing faster at +1.3K stars this week.
Marimo has the stronger automated maintenance signal at 90/100. This is not a security or fit verdict.
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Marimo | Made With ML |
|---|---|---|
| Evidence status | Basic listing· 3d ago | Basic listing· 3d ago |
| GitHub stars | 21.9K | 48.8K |
| Weekly growth | +1.0K | +1.3K |
| Health score | Strong90/100 |
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| Contributors | 323 | 1 |
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| Commits per week | 37.8 | 0.0 |
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| Open issues | 600 | 27 |
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| Language | Python | Jupyter Notebook |
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| License | Apache-2.0 | MIT |
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| Last commit | 3d ago | 4mo ago |
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| Last release | 0.23.14 | v1.1.0 |
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