The future of Python notebooks is here

Transform data, train models, and run SQL queries with marimo — feels like an AI-native reactive notebook, stored as Git-friendly reproducible Python. Seamlessly run as scripts and apps. All open source.

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There have been few technologies that have been truly transformational for me. marimo is one of them. Today, just about everything you need to know about Sumble lives in marimo.

Anthony Goldbloom

Founder/CEO Kaggle, Sumble

@antgoldbloom

My many frustrations with Jupyter notebooks are well known. marimo solves all of them, elegantly, while keeping the same sense of a 'notebook' that many of us have always found so appealing.

Samuel Colvin

Founder/CEO Pydantic

@samuel-colvin

The most powerful feature is that these notebooks are reactive: if you change the value or code in a cell every other cell that depends on that value will update automatically.

Simon Willison

Creator of Django, llm

til.simonwillison.net

Marimo is creating some really wonderful interactive computing environments that are intuitive, powerful and versatile.

Eric Zhang

MTS Thinking Machines, Founding engineer Modal

@ekzhang1

The notebook, reinvented

marimo feels like a notebook but is stored as pure Python program that's Git-friendly, reusable as a module, executable as a script, shareable as an app, reproducible in execution and packaging, and designed for data (with SQL and LLM support built-in). And it's all open source.

Code and outputs stay in sync

Run one cell and marimo reacts by running affected cells, eliminating the error-prone chore of managing notebook state. For expensive notebooks, configure marimo to mark outputs as stale instead of autorunning.

Interactive elements

Built-in interactive elements like sliders, dropdowns, dataframe tables, and selectable plots make working with data feel fast, futuristic, and fun.

Python-first, Git-friendly

marimo notebooks are pure Python, stored as .py files Version with Git, run as Python scripts, reuse as modules, manage with uv and PEP 723 metadata, test with PyTest, and integrate with your favorite developer tools.

Reproducible

Notebooks are executed in a deterministic order,with no hidden state — delete a cell and marimo deletes its variables while updating affected cells. Optionally serialize package requirements in notebook files, with marimo managing virtual environments for you.

Share as apps, run as scripts

Share interactive notebooks on the web by exporting to WebAssembly-powered HTML or serving notebooks as web apps with the marimo CLI. Run as scripts locally or in pipelines.

Made for developers

The marimo editor comes with GitHub Copilot-style autocomplete, hover tooltips, vim keybindings, code formatting, debugging panels, and extensive hotkeys. marimo also ships with a CLI, a library, and a VS Code extension.