`rustworkx` is older and much more mature than PyGraphina. So at the moment, it includes a larger collection of graph algorithms. But the goal is to keep PyGraphina focused on specific applications like community detection and link prediction with a high-level API like NetworkX.
I wanted to get a sense of and intuition for how to build an LLM from scratch, and to learn more Zig by doing so.
I avoided using external (linear algebra/tensor) libraries to keep the project's scope small and manageable. Adding them can be the next step, but they are usually very large dependencies that can make the project bloated. Anyway, Zig has great SIMD and multi-threading support, but I think there is a need for a native linalg/tensor library for Zig with a clean and mature API.
I'm not sure about the usefulness, it depends TBH. I think there are a lot of people (like hobbyists, students, people learning Zig, etc.) who can find the project somewhat useful at its current stage.