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choldgraf committed May 22, 2024
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Expand Up @@ -18,7 +18,7 @@ We propose the incorporation of a new Jupyter community sub-project: Jupyter Boo

_Why are we doing this? What use cases does it support? What is the expected outcome?_

The Jupyter Book project is a heavily-used user-facing tool for combining multiple computational narratives into an interactive book-like format. It was first created as a Jupyter repository (based on Jekyll), and was then moved into the [`executablebooks/` organization](https://github.com/executablebooks) when the Jupyter Book project received funding from the Sloan Foundation. The Jupyter Book stack was originally based on Sphinx, which was largely driven by development in the first half of the grant's timeline. It now seeks to [migrate to a JavaScript-based document engine with MyST](https://docs.google.com/document/d/1h4vsUD-vAjFrHVwD6ZMcXZRo2YJOQYbQQYX93i-RflY/edit).
The Jupyter Book project is a heavily-used user-facing tool for combining multiple computational narratives into an interactive book-like format. It was first created as a Jupyter repository (based on Jekyll), and was then moved into the [`executablebooks/` organization](https://github.com/executablebooks) when the Jupyter Book project received funding from the Sloan Foundation. The Jupyter Book stack was originally based on Sphinx, which was largely driven by development in the first half of the grant's timeline. It now seeks to [migrate to a JavaScript-based document engine with MyST](https://executablebooks.org/en/latest/blog/2024/2024-05-20-jupyter-book-myst/).

In the past two years, Jupyter Book has shifted its technical strategy to focus on a modern, future-proof foundation for authoring and reading computational narratives. It has invested project resources into developing a TypeScript-based documentation engine that can serve as the backbone of Jupyter Book. This documentation engine, called [MyST](https://mystmd.org) (for Markedly Structured Text, the same name as its flavor of markdown syntax), is designed to be web-native, and to more naturally interact with the web-based tools in the Jupyter ecosystem and beyond.

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