For use with a class I'll be teaching, I'm looking for a fast compiler or bytecode interpreter for Standard ML. I'm looking for fast compile times; any reasonable run time will do. Bonus if the compilation model is simple and clear. Students in the class will also be using MLton to generate good binaries, but MLton is slow to compile and there are times when students need something they can interact with.
Here's what I know already:
Standard ML of New Jersey has an interactive read-eval-print-loop, but its compilation rules are a bit strange, and it's a bit slow. Still, it may be the leading contender.
Moscow ML used to be ideal, but it still has not been brought up to date with the 2004 Standard Basis Library. Most unfortunate, because in addition to its many other fine properties, Moscow ML also has an interactive help system—but I can't inflict on my students a compiler whose libraries do something different from what all the online documentation says.
Poly/ML might well fit the bill, except that looking at the documentation online, I can't figure out how to get it to compile. That might be OK.
At the moment it looks as if either SML/NJ or Poly/ML would be the best compromise. It has been many years since I did any serious work in Standard ML, and I would welcome information about other compilers or which of these alternatives is, in your experience, the fastest to interact and the easiest to learn to use.