WORC is an open-source python package for the fully automatic execution of end-to-end radiomics pipelines. Using automated machine learning, WORC automatically determines the optimal combination from a wide variety of radiomics methods and parameters to develop a radiomics model on your dataset. Thereby, performing a radiomics study is effectively reduced to a black box with a push button, where you simply have to input your data and WORC will adapt the workflow to your application. Thus, WORC is especially suitable for the fast development of signatures and probing datasets for new biomarkers.