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It can be pretty bad, yes. A primary issue seems to be that conda package authors don't always do their deps right.

Pip, on the other hand, often "wins" by not even bothering to notice the versions of low-level libraries, etc. If that doesn't work, you get to keep both pieces.

Indeed, pip has no dependency resolver as of now, although it is being actively worked on [1], and they did secure some funding [2].

[1] https://github.com/pypa/pip/issues/988

[2] https://pyfound.blogspot.com/2019/11/seeking-developers-for-...

Yeah, so while conda can be annoyingly slow, comparing it directly to pip in that department is unfair. A more fair comparison would be pip plus poetry or pipenv, which also have speed complaints :/