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 would rather that Python catches up with Common Lisp tooling in JIT/AOT in the box, instead of compilation via C.

I'd kill for AOT compiled Python. 3.13 ships with a basic JIT compiler.

mypyc can compile a strictly-typed subset of Python AOT to native code, and as a bonus it can still interop with native Python libraries whose code wasn't compiled. It's slightly difficult to set up but I've used it in the past and it is a decent speedup. (plus mypy's strict type checking is sooo good)

Why is it named after a type checking library?