agentskillexchange Turn exploratory Python notebooks into reproducible apps and reports with marimo
Promote notebook work into rerunnable Python artifacts or lightweight apps when an analysis needs to be shared, versioned, and rerun reliably.
Prerequisites
Python 3.9+, marimo, notebook or analysis code
Installation
Use the upstream install or setup path that matches your environment:
- pip install marimo && marimo tutorial intro
- pip install marimo # or conda install -c conda-forge marimo
- pip install "marimo[recommended]"
Requirements and caveats from upstream:
- A reactive Python notebook that's reproducible, git-friendly, and deployable as scripts or apps.
- marimo is a reactive Python notebook: run a cell or interact with a UI
- consistent. marimo notebooks are stored as pure Python (with first-class SQL support), executable as scripts,
Basic usage or getting-started notes:
⚡️ reactive: run a cell, and marimo reactively runs all dependent cells or marks them as stale
🛜 shareable: deploy as an interactive web app or slides, [run in the browser via WASM](https://docs.marimo.io/gui...
🧪 testable: run pytest on notebooks
Extracted from upstream docs: https://raw.githubusercontent.com/marimo-team/marimo/HEAD/README.md