I suspect one issue is that Lisp never seemed to be well supported on Windows and never came out of the box on Linux, except perhaps for Guile, but Guile never reached any kind of critical mass despite being promoted by the GNU project. Maybe one reason is the lack of learning materials. Even today, although Guile has an initially pretty and appealing website, clicking "tutorials" reveals a complete lack of interest in growing that community - there is only one single tutorial, which is about how to embed Guile as a scripting language into a C program!
https://www.gnu.org/software/guile/learn/#tutorials
I remember learning Python in the 1990s. The learning materials were excellent. Java was also famous for extensive tutorials and learning materials (they've lost that in recent years, the modern Java docsites are just piles of specifications, but when Java was interested in growth they had it). In the end these things matter more than the exact nature of a runtime or type system.
No ML was a realistic workable option back then at all. Haskell is fine now, but was barely introduced in 1993. OCaml has become a workable option almost entirely due to the gargantuan effort of Jane Street, but again, it wasn't then. Standard ML remains terrible. Library support is sparse, there is almost no community outside of academics, no consistent implementation of the standard basis, compilers are wildly different from each other. The REPLs tend to be great, but it's very difficult to get from a set of source files to a portable executable, whereas with Python and Ruby, just writing the source files already gets you that.
> OCaml has become a workable option almost entirely due to the gargantuan effort of Jane Street, but again, it wasn't then.
What do you mean by this? I'm aware of dune and opam, but people were using C and C++ without equivalents before without problems. Python's package managment and building is also not that good, even today. I don't have a strong grasp of the history of OCaml so maybe they released Core, Base and Async really early compared to batteries and Lwt? But outside of that, basic OCaml with a makefile doesn't sound worse than C/C++.
> Standard ML remains terrible. Library support is sparse, there is almost no community outside of academics, no consistent implementation of the standard basis, compilers are wildly different from each other.
That's fair, my point is more that I don't really understand why no big company ever picked it. Considering how much companies invested in their tooling (Google with Java, Go, Dart, Python, C++ ; Facebook with PHP and C++ ; etc), they could have made something great.
> it's very difficult to get from a set of source files to a portable executable, whereas with Python and Ruby, just writing the source files already gets you that.
Depends on your definition of portable executable. I've always found deploying and distributing Python and Ruby painful, at least to end users. The best in class experience here for me is Go, it's great for end users, great for servers, cross compilation works well.
That isn’t the case for F#, and I would say it’s questionable for Python for anything larger than a couple source files.
Lisps and MLs offered this before Ruby and Python got popular. Unless you don't consider them great options?