Representing Python notebooks as dataflow graphs
19 days ago
- #Python
- #Notebooks
- #Data Science
- marimo is a free and open-source Python notebook that represents notebooks as dataflow graphs, blending interactive computing with reproducibility and reusability.
- Traditional notebooks like Jupyter suffer from reproducibility, interactivity, maintainability, and reusability issues, making them unsuitable for modern AI and data work.
- marimo notebooks are reactive, keeping code and outputs in sync, and can be executed as scripts, modules, or interactive web apps.
- The dataflow graph in marimo ensures deterministic execution, replacing hidden state with a structured, reproducible workflow.
- marimo provides features like lazy execution, control flow, SQL embedding, and caching to enhance productivity and usability.
- The tool is designed for data work, offering interactive elements, AI-native features, and compatibility with Python tooling.
- marimo's adoption is growing, with large enterprises and research labs using it for data and AI workflows.
- Developers can join the marimo community to contribute and shape its future.