We provide a number of tests that can be added to Basis objects, which can be run automatically and the results aggregated as described above. There are then additional procedures for statistical analysis and visualization, designed to be compatible with standard scientific Python packages. These tests range from simple property tests -e.g. energies or multipole moments -to completeness metrics. There is also functionality to rank the contributions of individual functions, produce correlation-consistent plots, and perform Dunham analyses on diatomic molecules. These tests can very simply be run across multiple molecules and multiple basis sets, with the results automatically collated and summarised in a way that simplifies the process of basis set validation.