AbstractSummaryWhile many algorithms for analyzing high-dimensional cytometry data have now been developed, the software implementations of these algorithms remain highly customized—this means that exploring a dataset requires users to learn unique, often poorly interoperable package syntaxes for each step of data processing. To solve this problem, we developed {tidytof}, an open-source R package for analyzing high-dimensional cytometry data using the increasingly popular ‘tidy data’ interface.Availability and implementation{tidytof} is available athttps://github.com/keyes-timothy/tidytofand is released under the MIT license. It is supported on Linux, MS Windows and MacOS. Additional documentation is available at the package website (https://keyes-timothy.github.io/tidytof/).Supplementary informationSupplementary dataare available atBioinformatics Advancesonline.