Imo, it eats away at both. Julia makes it relatively easy to meet or exceed Fortran performance, but also gives you the high level abstractions and ease of use

Imo, it eats away at both. Julia makes it relatively easy to meet or exceed Fortran performance, but also gives you the high level abstractions and ease of use of a language like python. I think the biggest problem for Julia currently is the difficulty of AOT compilation and the lack of tiered compilation (like Java/Javscript). Making the story for either of these better would be a significant quality of life improvement for Julia, and would make it pretty much unrivaled for scientific computing in my opinion.