Nvidia Warp: A Python framework for high performance GPU simulation and graphics

I love how many python to native/gpu code projects there are now. It's nice to see a lot of competition in the space. An alternative to this one could be Taichi Lang [0] it can use your gpu through Vulkan so you don't have to own Nvidia hardware. Numba [1] is another alternative that's very popular. I'm still waiting on a Python project that compiles to pure C (unlike Cython [2] which is hard to port) so you can write homebrew games or other embedded applications.

[0] https://www.taichi-lang.org/

[1] http://numba.pydata.org/

[2] https://cython.readthedocs.io/en/stable/

> I'm still waiting on a Python project that compiles to pure C

In case you haven't tried it yet, Pythran is an interesting one to play with: https://pythran.readthedocs.io

Also, not compiling to C but to native code still would be Mojo: https://www.modular.com/max/mojo

Does it really matters in performance. I see python in these kind of setups as orchestrators of computing apis/engines. For example from python you instruct to compute following list etc. No hard computing in python. Performance not so much of an issue.