Scientific discovery today is as much a product of innovative software as it is of groundbreaking experiments, and the right tools often mean the difference between success and stagnation. Indeed, the majority of scientists recognize scientific software as indispensable for their work and often impossible to conduct research without it . This reliance on software is equally crucial in proteomics, where researchers depend on a range of tools and algorithms for every step, from mass spectrometer configuration and data acquisition to the subsequent stages of processing, analysis, and interpretation . operating systems, and computer architectures), limiting its use across diverse environments and services. Not surprisingly, such restrictive licenses hinder the field's adaptability and impact the integration of proteomics with other omics disciplines.