You would need probability distributions anyway. In Python, SciPy is the most mature and popular package with probability distributions. And it depends on NumPy. But I'll gladly consider better alternatives if you propose them.

What year is this? I have not had problems installing numpy in over a decade. They are a core library that takes its position seriously.

If numpy is out of consideration so is the entire scientific Python ecosystem. Python is not a fast language and doing any kind of math heavy algorithm is going to suffer significant performance penalties.

What installation issues have you had with Numpy lately?

Python packaging is a mess, but compared to issues with Torch or Nvidia stuff, Numpy has been a cakewalk whether using pip, conda, poetry, rye, etc.