🚨 New paper! The @jupyterbook.org team just published a peer-reviewed paper in the SciPy Proceedings describing the design & architecture of Jupyter Book 2 and the MyST Document Engine! 📝 blog post: blog.jupyterbook.org/posts/2025-j... 📄 paper: proceedings.scipy.org/articles/hwc...

There are several core principles behind this project: simple to use yet extensible machine-readable content modular & composable docs federated APIs computation as first-class content

We're also excited to lean into "content as structured data". MyST documents are represented as a structured abstract syntax tree (AST), making them canonical and machine-readable. This enables powerful transformations and remixing across projects.

Combined with federated APIs and extensibility and modularity, Jupyter Book and MyST documents enable cross-project references, making scientific knowledge more interconnected.