The use case was a client creating electrification plans based on structures from satellite data. We were able to get rid of gdal/pandas/networkx and several other dependencies and ended up with a fast python based process that could be given to clients for them to reproduce on their own machines (windows workstations).
In my use case, the niche is not having WSL/Docker available and letting end users repeat studies or re-run configuration scripts.
In my use case, the niche is not having WSL/Docker available and letting end users repeat studies or re-run configuration scripts.