RanDepict was designed to allow the generation of diverse chemical structure depictions using only a few lines of code. After generating a RandomDepictor object, the method random_depiction can be used to generate depictions of chemical structures. These depictions are generated by using randomly picked parameters in CDK, RDKit and Indigo without additional elements (Figure ). The object can be called as a function to generate chemical structure depictions with additional non-structural elements and augmentations (Figure ). There are various examples for the batch generation of structure depiction datasets with and without the usage of the feature fingerprint picking functionality in the documentation. Based on the regression analysis, the generation of one million chemical structure depictions without the feature fingerprints takes 19 hours without augmentations and 31 hours with augmentations. For the generation of large datasets consisting of millions of structures, it is recommended to split the input SMILES lists and run the generation in parallel on multiple nodes in a cluster or using a cloud service. As long as the initial seed is set differently in every parallel instance, different sets of parameters are picked.