We created T-CellAnnoTator (TCAT), a computational method that helps to identify T cell subsets, activation states and functions. It does this using reproducible gene expression programs found across many disease contexts and tissues. TCAT outperforms conventional approaches for T cell subset prediction, is easy to use programmatically or through a website, and can be adapted for other cell types.