cufflinks VS jupyter-collaboration

While I have no need for it's only functionality and the SAAS part of plotly, I really do like plotly python + cufflinks [1]. It lets you make interactive plots in html/js format. Which means you can save the notebook as html, and while people won't be able to rerun the code, they can still zoom in on graphs, hover to see annotations etc, which is a really nice way to share the outcome of your work in a more accessible way.

[1] https://github.com/santosjorge/cufflinks

If you are interested in financial analyst you can check out some functions here like moving averages, correlation between plots etc..: https://github.com/santosjorge/cufflinks/blob/b973f3a0f689816139de6c68855ab65ffec1556 7/cufflinks/ta.py

https://github.com/jupyterlab/jupyter-collaboration

And then vscode sessions and thus macros could be recorded from ide events and appended to a jupyter_ydoc: https://github.com/jupyter-server/jupyter_ydoc

Do you have an example of how this works with another tool/language?

I don't know if I understood it correctly but maybe you could:

- Upload your notebook to Github, then create a url with Binder (part of the jupyter ecosystem) directly to an editing/fiddling playground: https://mybinder.org/

- If by user-local you mean on their own machine, they can clone your repo and run their own jupyterlab to fiddle

- If everything should stay on your own computer/server, you could share a link to your own jupyterlab and collaborate with others in real-time: https://jupyterlab-realtime-collaboration.readthedocs.io/en/...