CZ CELLxGENE Census lets you explore millions of single-cell and spatial transcriptomics data points from public research. You can search by cell type, tissue, disease, or organism without downloading entire datasets first. This tool works with Python and is built for large-scale analysis.
You can get gene expression slices, cell metadata, and pre‑calculated summaries for over 217 million cells. It supports human, mouse, and other species. No login is required for public data.
Researchers, data scientists, and machine learning engineers use this skill to train models, compare reference atlases, and find insights across thousands of datasets. It connects easily with Scanpy and AnnData for further analysis.
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