I still run into cases where a pip install that fails due to some compile issue works fine via conda. It's still very relevant. It's pip that should be switched out for something like poetry.
poetry vs pip does very little for compilation-related install failures. Most likely the difference is whether you are getting a binary package or not, and conda's repository may have a binary package that pypi does not (but also vice-versa: nowadays pypi has decent binary packages, previously conda gained a lot of popularity because it had them while pypi generally did not, especially on windows). But the main badness comes from mixing them in the same environment (or mixing pypi packages with linux distribution packages, i.e. pip installing outside of a virtual environment).
(I do agree pip is still pretty lackluster, but the proposed replacements don't really get to the heart of the problem and seem to lack staying power. I'm in 'wait and see' mode on most of them)
Oh I meant that poetry could be a general replacement for pip (actually it used it in it's backend) because it does a great job managing dependencies and projects in general.
(I do agree pip is still pretty lackluster, but the proposed replacements don't really get to the heart of the problem and seem to lack staying power. I'm in 'wait and see' mode on most of them)