That is really cool and I feel your pain. I've mostly been dissapointed in numerical computing stacks. You've got C/C++/Fortran that are blazing fast, but very

That is really cool and I feel your pain. I've mostly been dissapointed in numerical computing stacks. You've got C/C++/Fortran that are blazing fast, but very cumbersome to use. They are nice in that you can distribute an executable. Python and Julia are good at finding a sweet spot where your scripting language is fast and user friendly, but distribution is a pain I guess unless you have a SAAS product. Matlab, Mathematica, GNU Octave, Scilab...etc have their own problems like cost or performance and also make distribution painful. I looked at SBCL, but didn't see good ways to use existing numerical libraries. I'll have to look at Clasp again.