marimo

A closer look at marimo

marimo is a next-generation, open source, Python-first reactive notebook for reproducible data work: transform data, train models, and run SQL queries in an AI-native notebook that stores work as Git-friendly reproducible Python, runnable as scripts and apps.

Editorial guidance based on published documentation. The workflow below is a suggested starting point, not a measured product result.

When to choose marimo

• Python users who want a reactive notebook where cells update consistently, stored as Git-friendly Python rather than opaque notebook state.
• Data practitioners who transform data, train models, and run SQL queries in one notebook, and run it as scripts and apps.
• Educators and teams who want an AI-native notebook experience with reproducible, shareable Python.

When to choose something else

• Users who want a hosted notebook service with managed accounts and hosting, since marimo is open source software run by the user, not a hosted product in the text read.
• Users who work outside Python and SQL, since marimo is a Python-first notebook for Python data work and SQL queries.

A practical starting workflow

1. Get started with marimo from the homepage or view it on GitHub.
2. Build a reactive notebook: transform data, train models, and run SQL queries with interactive elements and data exploration.
3. Store the work as Git-friendly reproducible Python and run it as a script or app.

Check before committing

• The guessed pricing path returns a 404 page, so no pricing page is cited; the product is presented as open source software.
• Classroom adoption claims on the homepage are the site's own statements, not independently verified.

Common questions

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