This library is under active development, if you have any questions or feature requests, don't hesitate to contact me. I know the documentation is lacking, so I can help out with that, and I'm also looking for feedback.

This is a library of evolutionary algorithms with a focus on neuroevolution, implemented in pure python, depending on numpy. It contains a faithful implementation of Ken Stanley's NEAT (Neuroevolution of Augmenting Topologies) and HyperNEAT. The focus of this library is easy experimentation, it is pure python so it's easy to set up, and it has a simple and flexible API.