Marimo
Reactive Python notebook — reproducible, Git-friendly, AI-native
📋 Overview
Marimo is a reactive Python notebook that fixes the fundamental problems of Jupyter: stale state, non-reproducible execution, and Git-hostile JSON format. Unlike Jupyter (which executes cells in arbitrary order), Marimo uses a reactive dataflow graph — when you change a cell, all dependent cells automatically re-execute, ensuring consistency. Notebooks are stored as pure Python files (not JSON), making them Git-friendly, importable as modules, and runnable as scripts. The AI-native editor includes built-in LLM assistance, SQL querying, and the ability to deploy notebooks as interactive web apps.
✨ Key Features
- •21K+ GitHub stars — fastest-growing Jupyter alternative
- •Reactive dataflow: edit a cell, all dependents auto-re-execute
- •Pure Python storage — Git-friendly, importable, runnable as script
- •No stale state — DAG-based dependency tracking ensures consistency
- •Built-in AI assistant for code generation and debugging
- •SQL querying, dataframes, and plotting out of the box
- •Deploy notebooks as interactive web apps
🎯 The Problem It Solves
Jupyter notebooks are the standard for data science but suffer from three critical flaws: stale state (cells executed out of order), non-reproducible results (hidden state), and Git-hostile format (JSON with outputs). Marimo solves all three with reactive execution, pure Python storage, and automatic dependency tracking.
🔧 How It Works
Marimo notebooks are .py files with function-based cells. Each cell is a function; dependencies are tracked via a DAG. When you edit a cell, Marimo automatically re-executes all downstream cells — no stale state. The format is pure Python (no JSON, no outputs stored), so notebooks diff cleanly in Git, can be imported as modules, and run as scripts. Built-in SQL, dataframes, and plotting work out of the box. The AI assistant helps write code, explain cells, and debug errors.
🚀 Installation & Quick Start
Installation
pip install marimoQuick Start
- pip install marimo
- marimo edit notebook.py
- Write Python and SQL cells
- Deploy with marimo run
✅ Pros
- •Eliminates stale state with reactive execution
- •Pure Python format — clean Git diffs, no JSON
- •Notebooks are importable as Python modules
- •Runnable as scripts — no notebook server needed
- •Built-in AI assistant for code help
- •SQL, dataframes, and plotting built-in
- •Apache 2.0 licensed — completely free
❌ Cons
- •Smaller ecosystem than Jupyter — fewer extensions
- •Jupyter magic commands not supported
- •Custom widgets require adaptation
- •Less community content and tutorials
- •Some advanced Jupyter workflows need rethinking
💬 Practitioner Verdict
“Marimo is the best Jupyter alternative available in 2026 — the reactive execution model eliminates the stale state problem entirely, and the pure Python format is a revelation for Git workflows. The trade-off: smaller ecosystem than Jupyter (fewer extensions, less community content), and some Jupyter-specific workflows (magic commands, custom widgets) require adaptation. For data scientists who value reproducibility and version control, Marimo is the new default.”
Self-Hosted (Free)
Open source, MIT/Apache licensed. Run it yourself.
⭐ Star & Clone on GitHubFree forever. Your infrastructure, your data.
Marimo Cloud Free
Share and deploy notebooks
- Public notebooks
- Basic sharing
- Community support
Marimo Cloud Pro
Private notebooks, teams
- Private notebooks
- Team workspaces
- Priority support
Deployment Options
Ways to run Marimo in production
📊 Specifications
- Language
- Python
- License
- Apache-2.0
- Platform
- Linux, macOS, Windows
- Supported Models
- REST API, CLI
💰 Pricing Reality
100% free and open source under Apache 2.0. No paid tier, no usage caps. Self-hosting is free. Marimo Cloud (for sharing/deploying notebooks) has a free tier with paid plans for teams.