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Anaconda3 has decided to no longer support CPUs without AVX features for it's MacOS NumPy distribution conda/conda#9678 . Numpy 1.17.3 (or maybe .4) is the last version that doesn't require AVX CPU features.

This is not good for MacOS users. Since Macs are expensive and you can't legally run them in a virtual machine, people hang on to old Mac hardware for a long time, even Mac hardware that doesn't support AVX CPU features.

On solution is to require numpy <=1.17.3 for MacOS builds. For user running Miniconda3 this is a reasonable solution. However, for the the full up Anaconda3 distribution, this does not work. Packages (such pycdf) that are not compatible with the latest NumPy trigger a blizzard of package changes which end up failing after a long time.

At this point pycdf is only compatible with Miniconda3 on MacOS.

Volunteers with newer mac hardware are invited to step up and build the package for MacOS so that a version compatible with Anaconda3 on MacOS exists.

Hi folks--

It looks like basically what's happening here is a fork of both SpacePy and NASA CDF. Can we collaborate to resolve that? It would be great if we could get the NASA CDF library right on conda so that people can just conda install it regardless of what they're doing, and then (separately) get SpacePy on there with a CDF dependency. Getting the CDF library up itself would still be a big win even if we aren't able to instantly conda-fy SpacePy.