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We introduce giotto-ph, a high-performance, open-source software package forthe computation of Vietoris-Rips barcodes. giotto-ph is based on Morozov andNigmetov's lockfree (multicore) implementation of Ulrich Bauer's Ripserpackage. It also contains a re-working of the GUDHI library's implementation ofBoissonnat and Pritam's Edge Collapser, which can be used as a pre-processingstep to dramatically reduce overall run-times in certain scenarios. Ourcontribution is twofold: on the one hand, we integrate existingstate-of-the-art ideas coherently in a single library and provide Pythonbindings to the C++ code. On the other hand, we increase parallelizationopportunities and improve overall performance by adopting more efficient datastructures. Our persistent homology backend establishes a new state of the art,surpassing even GPU-accelerated implementations such as Ripser++ when using asfew as 5-10 CPU cores. Furthermore, our implementation of Edge Collapser hasfewer software dependencies and improved run-times relative to GUDHI's originalimplementation.

giotto-ph: A Python Library for High-Performance Computation of Persistent Homology of Vietoris-Rips Filtrations