Complex systems often comprise many interacting parts of greatly varying number and size. Understanding how systems evolve or how two systems compare can be done powerfully through 'allotaxonographs': Dynamic dashboards of coupled maps and lists which show changes in component importance. Rank-turbulence divergence is a particular tunable instrument of allotaxonometry that can be applied to any pair of complex systems with meaningfully rankable components.