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The problem with that is that Jupyter requires a back-end to do any of the actual processing that runs the code in the cells.

Only way I can think to make the html file truly portable while fully functional would be to embed a python interpreter and all required libraries as wasm.

Could be possible with pyodide? I haven't used it.

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I just want selected/declared "final results" to be restorable in a new kernel. Papermill let's you easily parameterize notebooks and execute them. So the notebook feels like a well documented functions that behave like executibles with really fancy debug print logs that can be reviewed for correctness and reproducibility.

Papermill does a great job of recording the input parameters and execution history. But there isn't anything equivalent to the "return foo, bar" part of a function which makes it difficult to build up modules. You don't want to have to digitize a plot to carry on to the next step is what I'm saying.

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