One thing that I discussed with @aturon a while ago would be building the fundamentals for a scientific Rust stack. It’s not a lot of effort to get the initial core fundamentals out, but once it’s there it would be a central place that other disparate projects could build upon. Think NumPy ndarrays for Python, the Julia NDArray, a subset of Eigen, etc.
The core primitives could be:
- a core ndarray abstraction
- BLAS wrappers on top of these
- scientific functions on these arrays (e.g. the vector operations in MKL/Accelerate/NumPy)
Some inspirations from the C++ side (that are probably overly generic but are reasonable) are Eigen and mshadow.
With these, the scientific Rust ecosystem would have a central place to build upon.