I am working with a client to set up their budget policies and compute governance.

They have a team of Engineers and Scientists that work across different versions of various libraries like python, pandas, numpy, scikit, mlflow etc.

Since each user requires diff versions, having one init script defeats the purpose. Also, any library and the version to be installed is supposed to be validated by InfoSec. 

I have proposed a rather niche solution to this that utilizes DBX app as the interface and syncs the approved libraries via Lakebase instance.

We are testing this out but wanted to check if there is something easier available within Databricks at a platform level.

Thanks in advance!