  Contemporary bioinformatics has seen in profound new visibility into the
composition, structure, and history of the natural world around us. Arguably,
the central pillar of bioinformatics is phylogenetics -- the study of
hereditary relatedness among organisms. Insight from phylogenetic analysis has
touched nearly every corner of biology. Examples range across natural history,
population genetics and phylogeography, conservation biology, public health,
medicine, in vivo and in silico experimental evolution, application-oriented
evolutionary algorithms, and beyond. High-throughput genetic and phenotypic
data has realized groundbreaking results, in large part, through conjunction
with open-source software used to process and analyze it. Indeed, the preceding
decades have ushered in a flourishing ecosystem of bioinformatics software
applications and libraries. Over the course of its nearly fifteen-year history,
the DendroPy library for phylogenetic computation in Python has established a
generalist niche in serving the bioinformatics community. Here, we report on
the recent major release of the library, DendroPy version 5. The software
release represents a major milestone in transitioning the library to a
sustainable long-term development and maintenance trajectory. As such, this
work positions DendroPy to continue fulfilling a key supporting role in
phyloinformatics infrastructure.
