Marimo offers a fresh take on Python notebooks by prioritizing reproducibility and interactivity. It addresses challenges with hidden state in traditional notebooks (like Jupyter) which can lead to unexpected behavior and hinder reproducibility. It does that by storing notebooks as plain Python files with no hidden state and using a deterministic execution order based on dependencies (when a variable changes, all affected cells are automatically run). Marimo also comes with interactive UI elements that similarly propagate value changes to cells that depend on them. As it can be deployed as a web app, it’s also a useful tool for demos and prototyping purposes. Although we’re excited for the potential of Marimo, in particular in terms of reproducibility for data exploration and analysis purposes, we continue to caution against productionizing notebooks.
