A Python package for distribution-free novelty detection using the full conformal paradigm. Novelty detection is the problem of identifying samples in a test dataset which differ in distribution from a collected reference dataset of "normal" samples (think: outlier detection). See my paper for further details regarding the statistical validity of our methods.