> One thing that supports this view is that there are several Julia packages that are wrappers around existing C/Fortran/C++ libraries, and basically no example

> One thing that supports this view is that there are several Julia packages that are wrappers around existing C/Fortran/C++ libraries, and basically no examples (that I know) of people porting existing libraries to Julia. This is totally off-base :-) There’s even discussion of implementing a lot of linear algebra stuff in Julia, instead of just falling back to BLAS (for very good reasons), see eg https://youtu.be/KQ8nvlURX4M https://youtu.be/KQ8nvlURX4M Those wrappers are just to bootstrap the ecosystem for immediate usefulness. So, over time, I expect Julia to become better and better for everything from exploratory development to workhorse numerical computing infrastructure. Once compiled binaries are feasible, I wouldn’t be surprised if other languages start wrapping algorithms implemented in Julia.