Our solution to this is just to publish notebooks to an internal gitlab repo. Easy to share read-only versions, it renders a bit different but looks close enough. You can then easily manage user access rights in gitlab and contributing back changes is easy with the jupyterlab git integration.
For publishing interactive examples we use voila, which creates a dashboard version of the notebook for users.
Re:JupyterLab 3.0
by tourdownunder on Tuesday January 05, 2021 @10:18PM
(#25654355)
jupyterhub addresses some of these concerns.
I've seen it crop up here and there. I've used it a few times and its really amazing how fast.
Afaik it's a drop in replacement for conda using the same cli parse. Even has miniconda (micromamba).
Did you reply to the correct comment? I can't understand what you're referencing here.
Maybe there's a non-hacky way to do this and I'm missing it?