Marimo Now Runs in PyCharm for Reactive Python Notebooks
We are thrilled to launch the first version of the marimo plugin for PyCharm, finally bringing reactive notebooks directly into your IDE. You can now test code, create interactive demos, and see live updates as you edit your Python modules without leaving your workflow. The plugin manages the server automatically, supports sandboxed environments with uv, and integrates seamlessly with PyCharm's existing tools for a tighter feedback loop.
Edit your library code in PyCharm's editor and see results in a reactive notebook.
- data-ottawa
Is the reload module very different than the base watch flag, and does the notebook editor use PyCharm/JetBrains' editor interfac, or is the notebook's editor completely embedded in PyCharm?
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As usual on marimo posts I have to mention how much I enjoy the product:
Two weeks ago I was working on a large scale data reconciliation that was very high in complexity and high risk for correctness/accuracy.
I built a marimo notebook to interactively visualize and validate the final data, which lead to finding several edge cases that unit testing and validation queries alone would easily miss.
The notebook used tabbed controls for switching subviews, custom AnyWidget components for a few advanced filters, interactive Altair charts with reactive data selection for drilling-down, and tables to export examples to Google Sheets. So close to the full gamut of features I think.
The more traditional notebook or script based workflows would not have been sufficient, a well-organized reactive notebook saved a lot of time on iterating on components without losing data, and data without having to re-run the full notebook.
Big thanks to Akshay and team, you're doing awesome work! Genuinely this has improved my workflow.
- quinndupont
We have adopted marimo notebook for doing modern data science. I’m happy with their progress. Nice to see greater integration.
- rtpg
Any former Jupyter users using Marimo who have the sales pitch? I'm decently happy using Jupyter Lab but would love to hear what I'm missing out on
- __mharrison__
Not sure about this environment complaint with Jupyter.
I taught venv and pip for years without issues to thousands.
Now I teach uv and it is even faster and easier.
- msp26
I fucking love marimo for exploring data.
However my use of it has decreased a little with how easily I can conjure disposable frontends with agents to explore one off things.