scvi-tools provides models for analyzing single-cell and spatial omics data, including dimensionality reduction, data integration, automated annotation, factor analysis, and doublet detection. It leverages variational autoencoders and probabilistic frameworks like PyTorch Lightning and Pyro for model development. Built on AnnData and integrates with the Scanpy ecosystem for single-cell data analysis.