luthaf
Somehow the same for me, this is part of why I started my own project (http://chemfiles.org). I have the impression that for cheminformatics you want to see molecules as graphes, is this true or is a list of bonds enough for usual purposes?
I have heard of OEChem but never used it. I'll try to find some documentation to have a look.
Context: I do research in computational chemistry, and write an open source library for this, that could be used for cheminformatics too. I don't really know what is needed for this though, since I never touched cheminformatics.
Better GPGPU support, for CUDA and OpenCL, ideally with direct compilation of Rust code to GPU assembly.
I ran into issues a year ago when trying to organize a library with more than 8000 loc, when the "dump everything into a global namespace" started to be more a hassle and less a nice way to get stuff done. I am waiting for it to stabilize a bit before giving a second try.
A Fortran-like multidimensional library could effectively happen out of tree, but ndarray is closer to Python's numpy.ndarray than to Fortran arrays. And this means that ndarray can not support negative indexing (see here: https://github.com/bluss/rust-ndarray/issues/152). I started a prototype of Fortran like array here: https://github.com/Luthaf/mudi, if anyone want to look at the code or even work on this.
My only problem at the time was that `Index` must always return a reference, and cannot return a new struct. From my understanding, this could be solved with the HKT/ATC work.
> Right now there is a focus on SIMD in Rust, which is crucial for this domain, so there is progress being made.
This is very exciting! And knowing the Rust community, we may even get a cross-platform cross-architecture SIMD library with a nice API!
Any reference concerning this point? I am interested!