This task implements an isolation forest to identify outliers. Every molecule in a dataset is assigned a dissimilarity score: a value of 0 or below implies an outlier. Accessible from the user interface via a simple toggle, this task can provide a "sanity check" to avoid erroneous data and verify molecule additions not already represented in the data. The results can be written to the command line as visual output or saved a file, and the corresponding embedding plot used to visualize the outliers can be saved and manipulated by the user.