Earlier quoted context omitted.
But there is a strong community behind OCaml. A lot of undergraduate programs use a dialect of ML for their core classes. While most OCaml implementations have poor standard libraries, Jane Street Capital has released several open source libraries that make it easy to implement high quality, performant applications.
> But there is a strong community behind OCaml. A lot of undergraduate programs use a dialect of ML for their core classes I don't understand your response. Are you saying the OCaml community primarily consists of undergraduates? > While most OCaml implementations have poor standard libraries That right there should tell you something.
What I am saying is that a sizable portion of academia uses a variant of ML. Maybe it hasn't caught on in industry, but that doesn't mean that there isn't a community that uses it.
> That right there should tell you something.
A lot of development of core tools for mainstream languages comes from the companies that use them. Clang and LLVM, for example, received support from Intel, Google and Apple just to name a few.
Jane Street has reimplemented much of the OCaml standard library for their own purposes. Facebook has already started implementing tools in Haskell. Once functional languages gain more traction, I suspect that the tools will improve substantially.