> size of wheels you can upload is constrained by PyPi I feel PyPi is pretty generous with their limits. You can even request more once you hit the ceiling, i

> size of wheels you can upload is constrained by PyPi I feel PyPi is pretty generous with their limits. You can even request more once you hit the ceiling, i think it’s around 60MB [1]. There are some wheels that are crazy large, tensorflow-gpu [2] are around 500MB each. I think there’s discussions out there to try and find ways of alleviating this problem on PyPi. > difficult to support multiple versions across multiple operating systems, unless you provide a source distribution, which is then… This can be a problem but I’ve found that recently the problem has improved quite a lot. You can create manylinux wheels for both x86, x64, and arm64 which cover pretty a lot of the Linux distributions using glibc. A musllinux tag was recently added to cover musl based distributions like Alpine. MacOS wheels support both x64, arm64, and can even be a universal2 wheel. Windows is still purely x86 or x64 for now but I’ve seen some people work on arm64 support support in CPython and once that’s in I’m sure PyPi won’t be too far around. There are also some great tools like cibuildwheel [3] that make building and testing these wheels pretty simple. > Still a nightmare on Windows I’m actually curious what is a nightmare about Windows. I found that Windows is probably the easiest of all the platforms to build and upload wheels for. You aren’t limited to a tiny subset of system libs, like you are on Linux, and building them is mostly the same process. Probably the hardest thing is ensuring you have tue correct vs build kit installed but that’s not insurmountable. [1] https://pypi.org/help/#file-size-limit https://pypi.org/help/#file-size-limit [2] https://pypi.org/project/tensorflow-gpu/#files https://pypi.org/project/tensorflow-gpu/#files [3] https://github.com/pypa/cibuildwheel https://github.com/pypa/cibuildwheel