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.
Install / Use
/learn @marimo-team/MarimoREADME
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
.pyfiles - 🛢️ designed for data: query dataframes, databases, warehouses, or lakehouses with SQL, filter and search dataframes
- 🤖 AI-native: generate cells with AI tailored for data work
- 🔬 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. Generate code with an AI assistant that is highly specialized for working with data, with context about your variables in memory; zero-shot entire notebooks. 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.
Quickstart
The marimo concepts playlist on our YouTube channel gives an overview of many features.
Installation. In a terminal, run
pip install marimo # or conda install -c conda-forge marimo
marimo tutorial intro
To install with additional dependencies that unlock SQL cells, AI completion, and more, run
pip install "marimo[recommended]"
Create notebooks.
Create or edit notebooks with
marimo edit
Run apps. Run your notebook as a web app, with Python code hidden and uneditable:
marimo run your_notebook.py
<img src="https://raw.githubusercontent.com/marimo-team/marimo/main/docs/_static/docs-model-comparison.gif" style="border-radius: 8px" width="450px" />
Execute as scripts. Execute a notebook as a script at the command line:
python your_notebook.py
Automatically convert Jupyter notebooks. Automatically conve
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