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Dev tools · January 12, 2024

Marimo – an open-source reactive notebook for Python

Hi HN! We’re excited to share marimo, an open-source reactive notebook for Python [1]. marimo aims to solve well-known problems with traditional notebooks [2]: marimo notebooks are reproducible (no hidden state), git-friendly (stored as Python files), executable as Python scripts, and deployable as web apps. GitHub repo: https://github.com/marimo-team/marimo In marimo, a notebook’s code, outputs, and program state are always consistent. Run a cell and marimo reacts by automatically running the cells that reference its declared variables. Delete a cell and marimo scrubs…

Marimo – an open-source reactive notebook for Python launched on January 12, 2024 with 448 votes, #54 of 4,438 launches that month and more than 99% of that year's launches. The site was still online in September 2026, 2 years on.

Visit github.com ↗Alternativestop 1% of January 2024

In plain words

Marimo is an open-source reactive notebook for Python that addresses common problems with traditional notebooks. Notebooks are stored as Python files, making them git-friendly and reproducible with no hidden state. Marimo automatically runs dependent cells when variables change and removes variables when cells are deleted. The notebooks can be executed as Python scripts or deployed as web apps. The reactive runtime uses static analysis for performance and allows users to disable auto-run on specific cells to avoid expensive computations.

written from the facts on this page · September 2026

From the sources

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. - marimo-team/marimo

In the maker’s words, at launch

Hi HN! We’re excited to share marimo, an open-source reactive notebook for Python [1]. marimo aims to solve well-known problems with traditional notebooks [2]: marimo notebooks are reproducible (no hidden state), git-friendly (stored as Python files), executable as Python scripts, and deployable as web apps. GitHub…

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