The increasing availability of large-scale and open spectral libraries is driving their growing role in computational mass spectrometry . Whereas in untargeted metabolomics experiments, using all commercial and openly available spectral libraries, only 2% of MS/MS spectra could be successfully annotated by spectral library searching less than a decade ago (M. , in 2022 the spectrum annotation rate for untargeted metabolomics on the GNPS platform has increased to 13% (Figure ). This increase by up to an order of magnitude in the number of unique MS/MS spectrum annotations that can be obtained is essential in advancing the amount of biological knowledge that can be achieved using untargeted metabolomics, and has only been possible by tremendous and continued efforts of various stakeholders-both academic and industry-and the metabolomics community at large.