marimo-team/marimo
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.
From the publisher
README & documentation
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A reactive Python notebook that's reproducible, git-friendly, and deployable as scripts or apps. Docs · Discord · Examples · Gallery · YouTube English 繁體中文 简体中文 日本語 Español marimo is a reactive Python notebook: run a cell or interact with a UI element, and marimo automatically runs dependent cells (or marks them as stale), keeping code and outputs consistent. marimo notebooks are stored as pure Python (with first-class SQL support), executable as scripts, and deployable as apps. Highlights. Get started instantly with molab, our free online notebook. Or jump to the quickstart for a primer on our CLI. marimo guarantees your notebook code, outputs, and program state are consistent. This solves many problems associated with traditional notebooks like Jupyter. A reactive programming environment. Run a cell and marimo reacts by automatically running the cells that reference its variables, eliminating the error-prone task of manually re-running cells. Delete a cell and marimo…
Read the full README ↗ · Preview checked 2026-10-27T08:27:23.384Z
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What this repository does
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.
Repository facts
- Owner
- marimo-team
- Primary language
- Python
- Stars
- 23,391
- Forks
- 1,367
- Open issues + pull requests
- 634
- License
- Apache-2.0
- Archived
- No
- Default branch
- main
- Created
- 2023-08-14T18:56:20.000Z
- Last push
- 2026-11-01T06:56:06.000Z
Topics and intended use
Owner-supplied topics: artificial-intelligence, dag, data-science, data-visualization, dataflow, developer-tools, machine-learning, notebooks, pipeline, python, reactive, sql, web-app
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Source and freshness
Source: GitHub. Metadata observed 2026-11-01T12:19:46.836Z. Daily imports are snapshots, not real-time monitoring.
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