Marimo - A new notebook
summary
Marimo claims predictable, spreadsheet‑like single-assignment variables that auto‑percolate changes through dependent cells, builtin widgets (sliders, radios) and a dataframe inspector, and the ability to export as importable .py (cells become decorated functions) and publish as WASM in‑browser apps. Installation is pip install marimo‑recommended and the demo runs, the dashboard widgets update live, the presenter counts >10 million public Jupyter notebooks on GitHub, and the tool is promising but still buggy and missing some Jupyter conveniences.
AI-written summary · about
chapters (10)
- 0:00Marimo notebook intro
- 3:35Jupyter notebook problems
- 5:20What is Marimo
- 7:25Marimo features demo
- 13:41Reusable code in Marimo
- 17:36Interactive dashboards with Marimo
- 19:02Sharing Marimo notebooks
- 20:49Markdown and dynamic content
- 21:30Marimo limitations
- 22:11Final thoughts
related talks
47mMarimo: A Notebook that "Compiles" Python for Reproducibility and Reusability
47mTurning notebook into a web app with Mercury
36mReactive Notebooks for Python
49mUntitled13.ipynb
17mNotes on Notebooks: Is Jupyter the Bringer of Jollity?
44mKeynote: Solara simplifies building complex dashboards.
29mUsing Jupyter notebooks to develop and share interactive data displays
32mAdvanced Visualization in Jupyter Notebooks