A single cell transcriptomics pipeline for QC, integration and making the data presentable
Structure and process genomic, transcriptomic, and machine learning data with this compact Python framework.
Accessible and interoperable whole slide image analysis for digital pathology in Python
anndata with trees
rapids-singlecell: GPU-accelerated framework for scRNA analysis
Unified open-source motorsport AI ecosystem: shared ML & data infrastructure (motorsport-core, motorsport-data) powering per-series prediction projects (RaceIQ F1, F2, and more) with a central project catalog. scverse-style.
muon is a multimodal omics Python framework
scverse lineage tracing analysis toolkit
Spatial Single Cell Analysis in Python
Deep probabilistic analysis of single-cell and spatial omics data
Lightweight helper to install scvi-tools in Google Colab
Accelerated, Python-only, single-cell integration benchmarking metrics
MCP (Model Context Protocol) server for deep probabilistic analysis of single-cell omics data using scvi-tools
scVIVA-Tools: A unified toolkit for spatial transcriptomics analysis
Notebooks used in scvi-tools tutorials
Multimodal Data (.h5mu) implementation for Python
Annotated data.
Single-cell analysis in Python. Scales to >100M cells.
Single-cell perturbation analysis
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