Scipy maintainer here, the main issue with the wheels was the Fortran77 that was SciPy throwing wrenches into the mix. With C/C++ self compilation should be quite straightforward. We (all Scientific Python packages) really worked hard on that.
replyFrom version 1.19 of SciPy there will be no need for fortran compilers (because we translated everything to C https://github.com/scipy/scipy/issues/18566) and then all becomes much easier in all platforms due to the large availability of C compilers in all platforms. Together with the Stable API developments in CPython the wheel clash issues "hopefully" will decrease gradually.
Thanks for all your hard work! I already consider SciPy and NumPy to be best practice in this area but as I'm sure you know, it's the long tail of stuff built on top of these and other core packages that are really the issue!!
replyAh, my bad. what I failed to emphasize is that many of the downstream issues are coming from the upstream restrictions so this is one of the major blocks that was causing some mayhem down the line. So indirectly we might have caused some heartburn for you, apologies in advance.
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