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title: Announcing the marimo plugin for PyCharm | daily.dev
description: Marimo has released a PyCharm plugin that brings reactive notebooks directly into JetBrains IDEs. The plugin lets developers add marimo notebooks to existing...
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# Announcing the marimo plugin for PyCharm

**[Hacker News](https://daily.dev/sources/hn)** · 3 min read · 0 upvotes · 0 comments

## Summary

Marimo has released a PyCharm plugin that brings reactive notebooks directly into JetBrains IDEs. The plugin lets developers add marimo notebooks to existing Python projects, import code from their libraries, and get a live feedback loop as they edit source files. Notebooks are stored as plain .py files, integrate with PyCharm's VCS tools, and run on the project's configured Python interpreter. A sandbox mode using uv keeps notebook dependencies isolated. The plugin also supports AI agent pairing via marimo-pair with Claude, Codex, or opencode, and is open source on GitHub.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://marimo.io/blog/pycharm>

## Community take

How the wider developer community reacted, aggregated from 1 discussion and 52 comments across hackernews (as of 2026-07-25).

**TL;DR:** The community is broadly enthusiastic about marimo, praising its reactivity, plain-Python file format, and improved virtual environment handling over Jupyter; a few commenters debate the tradeoff of disallowing variable reassignment across cells.

**Sentiment:** 70% positive · 20% mixed · 10% skeptical

**The case for**

- Marimo eliminates hidden state by making cell execution order transparent and reactive.
- Notebooks stored as plain .py files integrate cleanly with version control and Python editors.
- Virtual environment and dependency management is much easier than with Jupyter.
- Widgets and the marimo-pair AI agent integration are highlighted as standout features.
- Importability of notebooks and no accidental base64-encoded image commits are practical wins.

**The pushback**

- Marimo disallows assigning to the same variable in more than one cell, which some users find more limiting than Jupyter's flexibility.
- At least one commenter felt marimo solves none of Jupyter's core issues (though they didn't elaborate).
- One user noted their marimo usage has declined as AI agents make it easy to spin up disposable frontends instead.

**By community**

- hackernews (positive): Most commenters are enthusiastic adopters praising marimo's reactivity, file format, and tooling, with a small thread debating the variable-reassignment tradeoff.

**Hottest debate:** Whether marimo's restriction on reassigning variables across cells is an acceptable tradeoff for predictable execution order.

**Open questions**

- How does the PyCharm plugin's notebook editor integrate with JetBrains' native editor interface versus being fully embedded?
- How does the `--reload-module` flag differ from the base `--watch` flag?

**Highlights**

> What I like about Marimo notebooks over Jupyter: 1. They're just a python file so they work with python editors 2. There's no hidden state 3. I can import from them 4. I'm not accidentally committing base64 encoded image output anymore
> — [red\_hare on hackernews](https://news.ycombinator.com/item?id=49044402)

> 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? --- 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.
> — [data-ottawa on hackernews](https://news.ycombinator.com/item?id=49044448)

> My biggest problem with Jupyter is hidden state. You have no idea what order the cells executed in and how many times to get to the current state. Pluto.jl and Marimo solve that by using reactivity to make state transparent. WYSIWYG. I have also been thoroughly impressed how Marimo has engaged with AI agents. marimo-pair is fantastic.
> — [markkitti on hackernews](https://news.ycombinator.com/item?id=49042163)

> Yup! Not affiliated in anyway, just a fan. I like jupyter but marimo's my go to for a few reasons: - Automatic reactivity can be turned on (will trigger dependent cells if you uptade an upstream one) - Much nicer non-json file format (just python files, with a seperate output) - Much better virtual environment integration / managent (this is always a hassle with jupyter) - Widgets are great! - Better LLM integration (new marimo-pair means llm can inspect the actual python runtime objects) - It generally "looks" a lot nicer if you're using the web ui, which is nice.
> — [benrutter on hackernews](https://news.ycombinator.com/item?id=49045013)

> I was interested in marimo, but I became less interested when I realized that they traded off being able to assign to a variable more than once in order to allow out-of-order execution of cells. I mean as a Jupyter user, I typically do both and just keep track of what I'm doing in my head (like a repl with many snippets I can run any time), but if I wanted to make it more predictable, I would definitely give up out-of-order execution first.
> — [etbebl on hackernews · 2 comments](https://news.ycombinator.com/item?id=49042625)

**Source threads**

- [hackernews](https://news.ycombinator.com/item?id=49004464) · 96 points · 52 comments

## Similar posts on daily.dev

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---

Tags: [#python](https://daily.dev/tags/python), [#devtools](https://daily.dev/tags/devtools)

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