Theano vs Yellowbrick: What are the differences?

Developers describe Theano as "Define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently". Theano is a Python library that lets you to define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray). Using Theano it is possible to attain speeds rivaling hand-crafted C impleme. On the other hand, Yellowbrick is detailed as "Visual analysis and diagnostic tools to facilitate machine learning model selection". It is a suite of visual diagnostic tools called "Visualizers" that extend the scikit-learn API to allow human steering of the model selection process. In a nutshell, it combines scikit-learn with matplotlib in the best tradition of the scikit-learn documentation, but to produce visualizations for your machine learning workflow.

Theano and Yellowbrick belong to "Machine Learning Tools" category of the tech stack.

Theano is an open source tool with 9.13K GitHub stars and 2.52K GitHub forks. Here's a link to Theano's open source repository on GitHub.