ProfilerProfiler is a peer-reviewed, open-source web platform and desktop version for end-to-end multi-omics data analysis, integrating statistical methods, machine learning, and artificial intelligence into a unified workflow. The platform supports proteomics, metabolomics, lipidomics, transcriptomics, genomics, and other omics datasets from raw or tabular inputs. Profiler provides automated preprocessing, data exploration, biomarker discovery, AI-driven modeling, survival analysis, and biological interpretation using enrichment analysis. Designed for both bioinformaticians and experimental scientists, Profiler enables reproducible, explainable, and high-performance omics analysis through an intuitive web interface. Profiler is developed by the PRISM U1192 laboratory and protected by INSERM Transfer.https://prism-profiler.univ-lille.fr/profilerbiotools:profiler1.0doi:10.1093/bioinformatics/btaf644doi1.0Desktop applicationWeb applicationWorkflowhttp://edamontology.org/topic_3316Computer scienceMacLinuxWindowsOtherMatureFree of chargeOpen accessToolsTrainingInteroperabilityMetabolomicsProteomicsRare DiseasesFrancehttps://prism-profiler.univ-lille.fr/Othersofteware linkhttps://github.com/yanisZirem/Profiler_v1_requests_datatestsRepositorydataset exampleshttps://github.com/yanisZirem/prism-profilerRepositoryDesktop versionhttps://doi.org/10.5281/zenodo.17478158Source codehttps://github.com/yanisZirem/Profiler_v1_requests_datatestsTest data1.0https://prism-profiler.univ-lille.fr/app/Software packagehttps://prism-profiler.univ-lille.fr/citation/Citation instructions10.1093/bioinformatics/btaf64441324558Primary1.0Michel Salzetmichel.salzet@univ-lille.frhttps://www.laboratoire-prism.fr/member/michel-salzet/https://orcid.org/0000-0003-4318-0817PersonProfessor Michel Salzet known for his work in immunology, oncology and proteomic