Julia's improved a lot on the issue you're mentioning, so you might want to give it a try again. I don't notice it anymore, although I used to. I do think Julia

Julia's improved a lot on the issue you're mentioning, so you might want to give it a try again. I don't notice it anymore, although I used to. I do think Julia's performance, while pretty impressive, isn't quite what it's been billed as. How it compares to other systems in that regard, I don't know. As for Matlab, I think the big turnoff for me is its closed-source nature, which is maybe a more serious problem than you're giving it credit for. I also think that things like Python, that are more general-purpose, integrate much better than Matlab into other systems (e.g., web systems--you might not think it would matter if your estimation program doesn't integrate into a web app easily, but I didn't either and now I'm very sensitive to it). This is partially due to the open-source nature of things like Python, which lends itself to competition and experimentation, but also it being a more general-purpose language (this latter point is another sticking point with Julia, although wouldn't apply to OCaml). This OCaml library is really beautiful, actually. I looked into OCaml several years ago for this sort of thing, and if it had been around then, I might have invested more in it at the time, and kept using it. I'll have to revisit it.