We started with the development of Leaf briefly before Google released Tensorflow. For two weeks Leaf's hypothesis seemed unique. Although Leaf has top-notch performance and an uniquely simple yet expressive API, it will lose against Tensorflow. Leaf's current theoretical benefits[1] are less significant, than the benefits that Tensorflow provides[2] over the early, scientific frameworks like Torch, Caffe, Theano. The next generation of tools, that help developers to build machine learning applications will build on Tensorflow, or more specifically on higher-level frameworks, like Keras, who abstract over multiple AI Engines[3].