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Marimo

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Reactive Python notebook that replaces Jupyter. Pure .py files, reactive DAG execution, dual-mode (notebook → app). 19.8K stars, 1.9M monthly PyPI downloads, 261 contributors.

Score 93
Marimo in action

Where it wins

Reactive DAG execution — only re-runs affected cells, guarantees code/outputs/state consistency

Pure .py file format — git-friendly diffs, natively readable by coding agents

Dual-mode: works as notebook AND deploys as app from same file

1.9M monthly PyPI downloads — explosive growth trajectory

261 contributors, daily commits, very active development

PyCon US 2025 talk — major conference validation

Independent switching stories from credible sources (Towards Data Science, Oracle engineering team)

Migration path from Jupyter: `marimo convert notebook.ipynb -o notebook.py`

Where to be skeptical

GitHub doesn't render .py files like .ipynb — no inline preview

Extension ecosystem smaller than Jupyter's

Less enterprise sales presence than Hex

Editorial verdict

Best-in-class reactive notebook — the Jupyter replacement that actually works. Reactive execution guarantees reproducibility. Pure .py format is natively agent-readable. The natural choice for agent-assisted data workflows.

Videos

Reviews, tutorials, and comparisons from the community.

marimo: A Notebook that Compiles Python (PyCon US 2025)

PyCon US·2025-05

marimo concepts

marimo-team·2024

Related

Public evidence

Raw GitHub source

GitHub README peek

Constrained peek so you can sanity-check the source material without leaving the site.

<p align="center"> <img src="https://raw.githubusercontent.com/marimo-team/marimo/main/docs/_static/marimo-logotype-thick.svg"> </p> <p align="center"> <em>A reactive Python notebook that's reproducible, git-friendly, and deployable as scripts or apps.</em> </p> <p align="center"> <a href="https://docs.marimo.io" target="_blank"><strong>Docs</strong></a> · <a href="https://marimo.io/discord?ref=readme" target="_blank"><strong>Discord</strong></a> · <a href="https://docs.marimo.io/examples/" target="_blank"><strong>Examples</strong></a> · <a href="https://marimo.io/gallery/" target="_blank"><strong>Gallery</strong></a> · <a href="https://www.youtube.com/@marimo-team/" target="_blank"><strong>YouTube</strong></a> </p> <p align="center"> <b>English</b> <b> | </b> <a href="https://github.com/marimo-team/marimo/blob/main/README_Traditional_Chinese.md" target="_blank"><b>繁體中文</b></a> <b> | </b> <a href="https://github.com/marimo-team/marimo/blob/main/README_Chinese.md" target="_blank"><b>简体中文</b></a> <b> | </b> <a href="https://github.com/marimo-team/marimo/blob/main/README_Japanese.md" target="_blank"><b>日本語</b></a> <b> | </b> <a href="https://github.com/marimo-team/marimo/blob/main/README_Spanish.md" target="_blank"><b>Español</b></a> </p> <p align="center"> <a href="https://marimo.io/discord?ref=readme"><img src="https://shields.io/discord/1059888774789730424" alt="discord"/></a> </p>

marimo is a reactive Python notebook: run a cell or interact with a UI element, and marimo automatically runs dependent cells (or <a href="#expensive-notebooks">marks them as stale</a>), 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.

  • 🚀 batteries-included: replaces jupyter, streamlit, jupytext, ipywidgets, papermill, and more
  • ⚡️ reactive: run a cell, and marimo reactively runs all dependent cells or <a href="#expensive-notebooks">marks them as stale</a>
  • 🖐️ interactive: bind sliders, tables, plots, and more to Python — no callbacks required
  • 🐍 git-friendly: stored as .py files
  • 🛢️ designed for data: query dataframes, databases, warehouses, or lakehouses with SQL, filter and search dataframes
  • 🤖 AI-native: connect agent CLIs like Claude Code to notebooks, or use our editor's built-in AI features
  • 🔬 reproducible: no hidden state, deterministic execution, built-in package management
  • 🏃 executable: execute as a Python script, parameterized by CLI args
  • 🛜 shareable: deploy as an interactive web app or slides, run in the browser via WASM
  • 🧩 reusable: import functions and classes from one notebook to another
  • 🧪 testable: run pytest on notebooks
  • ⌨️ a modern editor: GitHub Copilot, AI assistants, vim keybindings, variable explorer, and more
  • 🧑‍💻 use your favorite editor: run in VS Code or Cursor, or edit in neovim, Zed, or any other text editor
pip install marimo && marimo tutorial intro

Get started instantly with molab, our free online notebook. Or jump to the quickstart for a primer on our CLI.

A reactive programming environment

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 scrubs its variables from program memory, eliminating hidden state.

<img src="https://raw.githubusercontent.com/marimo-team/marimo/main/docs/_static/reactive.gif" width="700px" />

<a name="expensive-notebooks"></a>

Compatible with expensive notebooks. marimo lets you configure the runtime to be lazy, marking affected cells as stale instead of automatically running them. This gives you guarantees on program state while preventing accidental execution of expensive cells.

Synchronized UI elements. Interact with UI elements like sliders, dropdowns, dataframe transformers, and chat interfaces, and the cells that use them are automatically re-run with their latest values.

<img src="https://raw.githubusercontent.com/marimo-team/marimo/main/docs/_static/readme-ui.gif" width="700px" />

Interactive dataframes. Page through, search, filter, and sort millions of rows blazingly fast, no code required.

<img src="https://raw.githubusercontent.com/marimo-team/marimo/main/docs/_static/docs-df.gif" width="700px" />

Generate cells with data-aware AI. Collaborate on marimo notebooks with your favorite agent, such as Claude Code, Codex, or OpenCode, using marimo pair. Or, generate code in the marimo editor with an AI assistant that is highly specialized for working with data, with context about your variables in memory. Customize the system prompt, bring your own API keys, or use local models.

<img src="https://raw.githubusercontent.com/marimo-team/marimo/main/docs/_static/readme-generate-with-ai.gif" width="700px" />

Query data with SQL. Build SQL queries that depend on Python values and execute them against dataframes, databases, lakehouses, CSVs, Google Sheets, or anything else using our built-in SQL engine, which returns the result as a Python dataframe.

<img src="https://raw.githubusercontent.com/marimo-team/marimo/main/docs/_static/readme-sql-cell.png" width="700px" />

Your notebooks are still pure Python, even if they use SQL.

Dynamic markdown. Use markdown parametrized by Python variables to tell dynamic stories that depend on Python data.

Built-in package management. marimo has built-in support for all major package managers, letting you install packages on import. marimo can even serialize package requirements in notebook files, and auto install them in isolated venv sandboxes.

Deterministic execution order. Notebooks are executed in a deterministic order, based on variable references instead of cells' positions on the page. Organize your notebooks to best fit the stories you'd like to tell.

Performant runtime. marimo runs only those cells that need to be run by statically analyzing your code.

Batteries-included. marimo comes with GitHub Copilot, AI assistants, Ruff code formatting, HTML export, fast code completion, a VS Code extension, an interactive dataframe viewer, and many more quality-of-life features.

View on GitHub →