[janci5243]

While this is interesting, there is a couple of existing alternatives. Most notable would probably be JupyterHub, which brings Jupyter notebooks (or JupyterLab) to groups of users. The collaboration there is not realtime and there is no conflict resolution (last write wins), but you can share resources and files with your colleagues. Deploying it is also not super hard.

[Equiet]

JupyterHub is a decent option, but it's still missing a lot of the features you need to really be a productive data scientist, such as IDE support (code intelligence, command palette) or data science related features (reproducibility, versioning or scheduling). It's also up to you to install it and maintain it — something you don't want to spend time on or you might not know how to do (not many data scientist are experts on managing infrastructure and keeping it secure).