MAYA requires performing pairwise similarity calculations for each molecular descriptor, which can result in long processing times for large SMILES datasets with more than 2000 compounds. In such cases, the time to generate visualizations can exceed 1 h. The performance test was executed with a 3.40GHz Intel Core i7-3770 CPU and 16 GiB of RAM running Ubuntu 2022.04.4 LTS. A workaround for this limitation is using a local copy of the MAYA.py script that allows for increased resources and faster processing. A step-by-step guide to use the MAYA.ipnd script is available in the Supporting Information.