If the language fills a niche sufficiently better than existing ones. Julia doesn’t bring too many novel concepts (JIT, macros, multimethods, parallelism) but t

If the language fills a niche sufficiently better than existing ones. Julia doesn’t bring too many novel concepts (JIT, macros, multimethods, parallelism) but ties them together nicely for scientific computing. The best chance Julia has isn’t attracting average devs alone, but the library developers. Writing new python libraries for research purposes often requires writing C/C++ code. There’s already a number of Julia libraries focusing on interesting research topics in scientific, mathematics, and AI. Those lead to better and more useful libraries over time which can interact over time. Plus Julia Computing seems to be going towards building a successful commercial side of Julia. Personally I don’t find the software poverty thing much of an issue, outside a few core areas (database drivers, basic http, c interop, networking, text editors).