As proteomics increasingly depends on computational tools, adopting open-source and FAIR principles is crucial for ensuring transparency, reproducibility, and accessibility. We urge researchers, funding agencies, institutions, and companies to prioritize open-source practices, particularly for publicly funded work, to foster a truly collaborative scientific ecosystem. By collectively advancing open-source software, the scientific community can build an inclusive, rigorous foundation that fosters innovation and extends the benefits of research to scientists and the public alike.