At the first glance: This could be complimentary tool to WEKA. It has some features that WEKA does not have. To name one: non-linear feature selection (e.g., Manifold Sculpting). It has extensive visualization libraries (2D and 3D). It can store sparse representation of data which is a huge memory saver for text mining (NLP). The biggest complaint would be that I don't see how this tool could do feature selection INSIDE cross-validation loop. It seems that authors are unaware that feature selection on the whole data set is prone to overfitting.

Note to self: It has mean margin trees but no SVM? Thread safe? Portable to R? C++ codebase. Why SHA?