See my post here: https://news.ycombinator.com/edit?id=11275071 https://news.ycombinator.com/edit?id=11275071 We have this concept of a backend where we had ne

See my post here: https://news.ycombinator.com/edit?id=11275071 https://news.ycombinator.com/edit?id=11275071 We have this concept of a backend where we had net lib java and jblas, but both are horribly slow/limited and need some updating which is why we added our approach to this. If a new matrix framework comes out, I will just write a backend for it and allow people to keep the same dsl. Breeze also isn't usable from java: http://stackoverflow.com/questions/27246348/using-breeze-from-java-on-spark-mllib http://stackoverflow.com/questions/27246348/using-breeze-fro... FWIW, we also support both row and column major (you can specify the data as well as ordering) very similar to numpy. If you come use nd4j, it will mainly be for a dsl that encourages vectorization just like any other numerical language.