PyCPET builds on several studies in our group. We first showed the utility of computing 𝐸𝐸 "⃗ (𝑟𝑟) topological data through a study KSI mutants and the effects of oriented external electric fields. Here we found the χ ! distances of 𝐸𝐸 "⃗ (𝑟𝑟) streamline distributions to explain reaction barriers for enolate formation . Additionally, Vargas, et. al showed that 3-D fields were more useful than point 𝐸𝐸 "⃗ (𝑟𝑟) for the classification of enzyme function across a dataset of hemes, and was further enhanced by the consideration of dynamic trajectories. Chaturvedi, et. al. also demonstrated the utility of dynamics for interpreting how 𝐸𝐸 "⃗ (𝑟𝑟) impact catalysis beyond a static perspective, in a study of the causes of new-to-nature chemistry seen in a lab-evolved protoglobin.