I recently built Neutrino Notebooks, an open source python library for compiling Jupyter notebooks into FastAPI apps.

I work with notebooks a ton and typically find myself refactoring notebook code into a backend or some other python script. So, I made this to streamline that process.

In short, it lets you:

- Expose cells as HTTP or websockets endpoints with comment declaratives like `@HTTP` and `@WS`

- Periodically run cells as scheduled tasks for simple data pipelines with `@SCHEDULE`

- Automatic routing based on filename and directory structure, sort of similar to NextJs.

- Ignore sandbox files by naming them ‘_sandbox’

You can compile your notebooks, which creates a /build folder with a dockerized FastAPI app for local testing or deployment.

GitHub repo: https://github.com/neutrino-ai/neutrino-notebooks

Excited for feedback from the HN community