As a major feature, Ulamdyn provides a complete integrated pipeline starting from the data curation to perform advanced unsupervised learning analysis of the molecular dynamics data. Several dimensionality-reduction and data-clustering algorithms were implemented for this task based on the popular Python package Scikit-Learn (scikit-learn.org). These analyses have proven extremely useful for unraveling hidden patterns in nonadiabatic dynamics data in a very efficient and automated manner. All the details about the Ulamdyn features and implementations will be discussed in a separate publication.