Aging Atlas aims to compile large gene expression and regulation datasets created by a range of high-throughput omics technologies and serve as a valuable resource for a range of life science researchers. The current implementation includes five modules: transcriptomics, epigenomics, single-cell transcriptomics, proteomics, and pharmacogenomics. Aging Atlas provides user-friendly functionalities to explore age-related changes in gene expression and provides download services for raw multi-omics data from aging-related research.