piikun: An Information Theoretic Toolkit for Analysis and Visualization of Species Delimitation Metric Space

Background Existing software for comparison of species delimitation models do not provide a (true) metric or distance functions between species delimitation models, nor a way to compare these models in terms of relative clustering differences along a lattice of partitions. Results piikun is a Python package for analyzing and visualizing species delimitation models in an information theoretic framework that, in addition to classic measures of information such as the entropy and mutual information [[1][1]], provides for the calculation of the variation of information criterion [[2][2]], a true metric or distance function for species delimitation models that is aligned with the lattice of partitions. Conclusions piikun is available under the MIT license from its public repository ( ), and can be installed locally using the Python package manager ‘pip’. ### Competing Interest Statement The authors have declared no competing interest. [1]: #ref-1 [2]: #ref-2