Newest ones are: meta-par (a work stealing scheduler as a library that can shuttle work btwn CPU,gpu, and distributing across other machines.) Pending one you c

Newest ones are: meta-par (a work stealing scheduler as a library that can shuttle work btwn CPU,gpu, and distributing across other machines.) Pending one you can find online: distributed haskell (the production version is on github, and there's a proof of concept package on hackage called remote) Things that have been around a bit that have ongoin work: repa, dph, accelerate, and to some extent hmatrix. There's a few other projects that aren't quite public yet going on that should make it possible to do some of the standard things you might want like a nice staticly typed fast data frame (which is going to look at pandas as an initial role model) and some other parts of the data analysis flow.