Marimo — Reactive Notebook for Python

Why Marimo Over Jupyter

Reactivity

import marimo as mo
x = mo.ui.slider(1, 10, value=5)
x
# Cell 2: automatically re-runs when slider changes
result = x.value ** 2
mo.md(f"**{x.value}squared = {result}**")

No more running cells out of order. Marimo builds a dependency DAG and ensures consistent state.

Pure Python Files

Notebooks are stored as .py files — readable, diffable, and executable:

import marimo
app = marimo.App()

@app.cell
def cell1():
    import pandas as pd
    data = pd.read_csv("sales.csv")
    return data,

@app.cell
def cell2(data):
    summary = data.groupby("region").sum()
    return summary,

Built-in UI Components

Sliders, dropdowns, tables, charts, file upload, date pickers — all reactive and composable.

SQL Support

result = mo.sql(f"SELECT region, SUM(revenue) FROM {sales_df} GROUP BY region")

Deploy as Web App

marimo run dashboard.py --host 0.0.0.0 --port 8080

FAQ

Q: What is Marimo? A: Marimo is a reactive Python notebook with 20,000+ GitHub stars that auto-updates dependent cells, stores notebooks as pure .py files, and deploys as web apps with one command.

Q: Can I convert Jupyter notebooks? A: Yes. marimo convert notebook.ipynb > notebook.py converts any Jupyter notebook.

Q: Is Marimo free? A: Yes, fully open-source under Apache-2.0.