Metis (Manager for Experimental Tests on Individuality Studies) is a Python-based toolbox which is able to perform some common analysis on Individuality, through a practical graphic interface.

In particular, it is able to execute feature selection, statistical analysis and biometrical analysis. Another feature implemented in the toolbox is the cluster analysis.

There are three different study modality:

• The Single Analysis, which make it possible the execution of the analysis on the single data file, containing the features values related to each repetition of each considered user
• The Double Analysis, which performs the same analysis on both files and then compares them and some results such as the genuine and the impostor scores through statistical analysis
• The Clustering, which allows to execute a cluster analysis on the single data matrix