Its modularity allows new approaches to be swiftly implemented, as is exemplified by the implementation of the very recently released ionmob predictor. In addition, by providing an extensive QC report, users can easily investigate the performance of the used methods and also check the suitability of the applied prediction models to their data. This can help to bring some light and understanding into machine learning-based approaches that are -sometimes unjustly-seen as closed boxes.