A solution to these challenges is offered by open-source software (OSS) which is also aligned with the FAIR principles (Findable, Accessible, Interoperable, Reusable) that have initially been established for scientific data . The FAIR principles were expanded in 2022 to research software (FAIR4RS) to address the growing recognition of research software as a foundational research asset . Following FAIR4RS principles empowers proteomics with OSS tools that are not only accessible, but also foster community-driven development, rigorous validation, and transparent sharing of methodologies . Although OSS is not an explicit requirement for implementing FAIR principles, it facilitates the realization of these principles by making software more accessible, transparent, and reusable. OSS has demonstrated clear benefits in increasing the accessibility, usability, and visibility of scientific software . In particular, OSS makes reproducibility, traceability, and auditability possible.