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Dev tools · May 9, 2022

AS

A Spatial Environment for Python

Hi all! A little background: I've been working on natto.dev, a spatial environment for JavaScript. I'm really excited about new interfaces for code (leveraging metaphors we're good at, spatial reasoning, making state visible, design tools, etc). With all the buzz around PyScript, I discovered Pyodide and got it working inside natto. This Python version is a stripped down version of https://natto.dev (eg interactive outputs, multiplayer) so please check that out if this interests you. I'm excited to share this spatial environment for Python. Imagine Jupyter cells arranged on a 2D…

Visit python.natto.dev ↗Alternativestop 11% of May 2022

In plain words

A Spatial Environment for Python is a code editor that arranges Python cells on a 2D canvas instead of in a linear notebook format. Built with Pyodide, it runs Python directly in the browser. Cells automatically rerun when code changes or dependencies update, similar to spreadsheet behavior. The tool makes code dependencies explicit and allows users to duplicate panes through drag interactions. It is designed for developers who want an alternative to traditional Jupyter notebooks with spatial organization and automatic reactivity.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Hi all! A little background: I've been working on natto.dev, a spatial environment for JavaScript. I'm really excited about new interfaces for code (leveraging metaphors we're good at, spatial reasoning, making state visible, design tools, etc). With all the buzz around PyScript, I discovered Pyodide and got it working inside natto. This Python version is a stripped down version of https://natto.dev (eg interactive outputs, multiplayer) so please check that out if this interests you. I'm excited to share this spatial environment for Python. Imagine Jupyter cells arranged on a 2D canvas. Some key differences from traditional Python notebooks: - By default, cells rerun whenever its code changes or an input reruns, like a spreadsheet! - Dependencies are explicit. There is no parsing or global scope. - Duplicate panes by option-dragging. This is a core interaction in design tools for exploring ideas. - State panes add interactive elements. Check out this scikit demo https://python.natto.dev/example/de5cae3dfbcb43919981cc14203... - Python execution happens in your browser as WASM via Pyodide (implementation detail, not design choice). This is currently a demo, not meant to replace your production ML notebooks. I would love to hear your feedback on any of this and your thoughts on new programming interfaces!

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