This is why i moved to data science so i can focus more on solving problems than picking frameworks and libraries. We are not completely immune to this problem, but by and large the tooling ecosystem is much smaller and the focus is on problem solving and not the tech stack.
Definitely not immune but far from perfect. I was talking to folks at PyCon about this problem. There’s definitely “framework fatigue” in data engineering.
