Enforcing reproducible and consistent research can be difficult. It is, however, also a crucial requirement to quickly iterate through novel ideas. Reproducibility is not always possible, for example when using medical data that is not publicly available, but a pipeline to test new datasets and investigate existing open source datasets can be very useful. In a joint work with the research group Data Mining in Medicine of Ludwig-Maximilians-Universität München we have built a framework focusing on generating and classifying time series data.