The software is based on an easy to use scripting language in which one specifies 1) the learning mechanism including genetic predispositions, 2) the experiment/learning scenario and 3) data to be presented in graphs or to be exported. After a short introduction we will demonstrate the software with a number of applications including instrumental and Pavlovian conditioning, chaining or sequence learning, avoidance learning, latent learning and more.