reXmeX is a recommender system evaluation metric library.

Please look at the Documentation and External Resources.

reXmeX consists of utilities for recommender system evaluation. First, it provides a comprehensive collection of metrics for the evaluation of recommender systems. Second, it includes a variety of methods for reporting and plotting the performance results. Implemented metrics cover a range of well-known metrics and newly proposed metrics from data mining (ICDM, CIKM, KDD) conferences and prominent journals.

PyPI: https://pypi.org/project/rexmex/