pyPhenology: A python framework for plant phenology modelling

pyPheonology is a software package for building plant phenology models. It has numpy at it’s core, making model building and prediction extremely fast. The core code was written to model phenology observations from the National Phenology Network, where abundant species have several thousand observations. The API is inspired by scikit-learn, so all models can work interchangeably with the same code (eg: Model selection via AIC). pyPhenology is currently used to build the continental scale phenology forecasts on http://phenology.naturecast.org. Development of this software was funded by the Gordon and Betty Moore Foundation’s Data-Driven Discovery Initiative through Grant GBMF4563 to Ethan P. White.