GAlibrate is a python toolkit that provides an easy to use interface for model calibration/parameter estimation using an implementation of continuous genetic algorithm-based optimization. Its functionality and API were designed to be familiar to users of the PyDREAM, simplePSO, and Gleipnir packages.

Although GAlibrate provides a general framework for running continuous genetic algorithm-based optimizations, it was created with systems biology models in mind. It therefore supplies additional tools for working with biological models in the PySB format. What's new in version 0.6.0

core GA now returns an array with fitness value of the fittest individual from each generation which can be accessed from the GAO property GAO.best_fitness_per_generation.
Bug fix in core GA for sorting the population before selection and mating.