This project aims at providing a comprehensive, open source anonymization framework for sensitive personal data. It is able to alter the data in a way that guarantees minimal information loss while making sure that the transformed data adheres to well-known privacy criteria, such as k-anonymity, l-diversity, t-closeness or δ-presence