We have implemented a Python program which uses a configuration file and which is easy to use and, considering the advantages listed above, provides the statistically most sound analysis method for reactivity ratios. With this, polymer chemists interested in classification and sound evaluation of measured or published reactivity ratio data are enabled to employ a state of the art in approach. Based on this, reliable and fundamental reactivity ratios may implemented in (co-)polymerization models to work towards depiction and better understanding of structure-property relationships in (co-)polymers. The usage of the program is described in detail in appendix B