Okay, but what does that mean? Microsoft Cognitive Toolkit is like Tensorflow, which is included as an item on the list. Azure Machine Learning is something you can script with R or Python, and allows you to create APIs for predictive use on Azure. What good does lumping those together do? And what does it tell us that some things that are basically an R/Python library are less popular than R or Python themselves? It's this weird, uneven mix of things. Some are programming languages, some are libraries or frameworks, some are end-user products like Tableau.
This is pretty much what data science in the real world is like.
Define the question you are interested in (in this case, a somewhat reasonable attempt to compare R/Python/SAS) and the put other things in blobs with a note that says this is what this blob is. Enjoy.
