I appreciate how you focus on just two, which are the state of the art in your opinion.

I find it less useful to see comparisons of "top 50 deep learning frameworks for 2018" which include esoteric stuff that is only there for sake of completeness.

This way a person branching out from Tensorflow (I assume its Tensorflow) knows which two frameworks to try out, and what to look for.