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Data Science Notebook🔴Developer
M

marimo

Open-source reactive Python notebook — Git-friendly, reproducible, and deployable as an interactive web app. A modern Jupyter alternative for AI and data work.

Starting atFree
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💡

In Plain English

Open-source reactive Python notebook — Git-friendly, reproducible, and deployable as an interactive web app. A modern Jupyter alternative for AI and data work.

OverviewFeaturesPricingUse CasesFAQ

Overview

marimo is a next-generation Python notebook that fixes the long-standing Jupyter pain points: hidden state, out-of-order execution, broken Git diffs, and the gap between a notebook and a deployable app. Cells in marimo form a reactive dependency graph — change a variable and downstream cells re-run automatically — which makes notebooks behave more like spreadsheets and eliminates the classic 'I forgot to run cell 5' bug. Notebooks are stored as pure .py files, so they diff cleanly in Git and can be imported as ordinary Python modules. With a single command (marimo run) you can serve any notebook as an interactive web app with sliders, dropdowns, tables, and plots — useful for AI demos, model dashboards, internal tools, and teaching materials. marimo includes a built-in AI assistant that can generate or edit cells using your choice of model (OpenAI, Anthropic, local Ollama). It also ships first-class support for SQL cells, DuckDB, and Polars, which makes it a strong choice for data-heavy AI workflows. The project is permissively open source (Apache 2.0) and is rapidly gaining traction inside ML teams as a Jupyter replacement.

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Vibe Coding Friendly?

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Difficulty:intermediate

Suitability for vibe coding depends on your experience level and the specific use case.

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Key Features

Feature information is available on the official website.

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Pricing Plans

Open Source

Free

    marimo Cloud

    TBD

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      Best Use Cases

      🎯

      Reproducible ML and data science notebooks

      ⚡

      Shipping interactive AI demos as web apps

      🔧

      Teaching Python/AI courses with reactive feedback

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      Internal dashboards built directly in a notebook

      Pros & Cons

      ✓ Pros

      • ✓Reactive model eliminates the #1 Jupyter bug (hidden state from running cells out of order)
      • ✓Pure .py file format gives you clean PR reviews — colleagues who avoid `.ipynb` diffs can finally engage
      • ✓`marimo run` as a deploy primitive is genuinely faster than wiring a Streamlit/Gradio app from scratch

      ✗ Cons

      • ✗Reactive model has a learning curve — code patterns that worked in Jupyter sometimes need restructuring
      • ✗marimo Cloud (managed hosting) is not yet generally available with public pricing
      • ✗Smaller ecosystem of extensions and pre-built widgets than Jupyter/JupyterLab

      Frequently Asked Questions

      How much does marimo cost?+

      marimo pricing starts at Free. They offer 2 pricing tiers including a free option.
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      Quick Info

      Category

      Data Science Notebook

      Website

      marimo.io
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      More about marimo

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