@hugovk @treyhunner Any advice on a package to normalize against? I feel like setuptools would have worked a while ago but these days it's less and less likely that you will get a copy of that automatically with Python. pip might work, but with uv...
Maybe just need to normalize against Python downloads, assuming the ratio between downloads and package installs is roughly constant.
@hugovk @treyhunner Though also I suspect that this whole line of thinking doesn't really answer my original question that well, which is, "How relevant is pytz today?" When I first gave my time zones talk it was the dominant package and I could say, "Don't directly attach pytz zones to your datetimes" and 5 people would run off to fix production bugs.
These days there are more pytz downloads than ever but I think a big part of that is that it is still a dependency of pandas and cryptography, which might not mean anything about whether most programs today actually use pytz directly.