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for problems where Jax works well, in theory there could be a great Julia equivalent, but in practice one has not emerged. instead every 3 or so years, a brilli

for problems where Jax works well, in theory there could be a great Julia equivalent, but in practice one has not emerged. instead every 3 or so years, a brilliant solo researcher writes an even better autograd library which is ultimately abandoned. the language is at its best in other areas. for a few things (differential equations, mathematical optimization) it is actually state of the art.

catgary 2y ago
Even as a full-blown Julia hater, it exists at a really nice level of abstraction for working in differential equations and Chris Rackaukas has written some fantastic software in that area. It can be a great tool for some domains (ODEs, statistical modeling/visualization) and I can see why Pumas uses the language. I don’t think that Julia is a great tool to replace the complicated physics simulation code that would have traditionally been written in C++/Fortran, I think for that you’ll generally be better off using JAX/Rust/C++.