I'm trying to port some Python code to Scala. It makes heavy use of Numpy and Scipy. While I've found a number of dense matrix / linear algebra libraries that will do as an adequate (but not superb) replacement for NumPy, I've not really found anything that provides the functionality I use in SciPy. In particular, I'm looking for a libraries that support sparse partial eigendecompositions (like SciPy's wrapping of arpack), and then libraries for some simple things that SciPy provides (e.g. histograms).
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Blatant opportunism: I'm the author of numsca, the numpy for scala. Obviously the best in town.
Numsca lives here: https://github.com/botkop/numsca
Feedback appreciated.
Thank you.
There have been a few similar questions already on this topic:
Also, http://code.google.com/p/scalalab/ looks interesting.