Tools to implement molecular descriptors and similarity measures exist but are fragmented, difficult to use, often accessible only from the command line, and require substantial coding by the end-user. For example, using the ubiquitous cheminformatics package RDKit requires significant knowledge of programming. mordred, a cheminformatics tool with more than 1,000 molecular descriptors in a single package, has a separate command line or scripting interface . ccbmlib implements several common molecular fingerprints but is quite limited regarding implemented descriptors and broader functionalities. chemfp performs similarity searching remarkably fast on user-specified fingerprints but is command-line only and not fully open-source . Similarity metrics are available throughout numerous Python packages, some in cheminformatics and others in statistics or machine learning packages. KNIME provides a host of code-free functionalities for performing data visualization and analytics. However, its stand-alone design, emphasis on code-free utilization, and general scope make its adaptation into existing programmatic cheminformatics pipelines is challenging. GraphDot is a GPU-accelerated Python package for calculating graph similarity. The similarity between graphs is calculated using the marginalized graph kernel algorithm , based on a random walk to match subgraph patterns. None of the common fingerprints and similarity measures used in cheminformatics is implemented, restricting its use to niche cases.