I appreciate the suggestions, unfortunately my problems aren't really with pip. It's more that packages ship over- or under-specific version requirements (e.g.

I appreciate the suggestions, unfortunately my problems aren't really with pip. It's more that packages ship over- or under-specific version requirements (e.g. dependency A wants numpy == 1.24.1, dependency B wants numpy >= 1.24 but actually doesn't work with 1.24.1 for some obscure reason (the authors probably didn't have A installed so they only tested with 1.24.2 and 1.26), but A actually will work fine with 1.25 so you need to override the 1.24.1 requirement). Or sometimes they have perfectly accurate but incompatible requirements and there's no standard or even good way to reconcile them.