This will not happen. There is so much hype around Julia and false claims such as Julia outperforming Fortran, etc. One can always design an isolated benchmark in which Julia outperforms any other language. But what people care, is performance in practice. And false claims will only hurt Julia in the long run, in the same way VolksWagen got badly hurt for its "US diesel emission fraud".

It's a compiled language with a close-to-baremetal type system and implemented as an LLVM frontend. I don't see what would make it slower than e.g. Fortran except for a couple more years of LLVM backend optimizations required (which I still think will happen given LLVM's adoption), but probably I'm missing something here.

And do you have any evidence that well written (but still high level) Julia isn't faster/as fast as fortran in practice?

Poorly written code in any language will be slow, so don't start with that.

Does Julia play well with Rust code? I see Rust as the future replacement for C++ so that would be important.

tbh. I don't yet see many use cases for that. or are there popular Rust numeric libraries I'm not aware of?

Here's one project idea: `sled` is a transactional KV store written in Rust. Might be fun to build an embedded DB in Julia using sled as the storage engine.