Single-cell analysis in Python. Scales to >100M cells.
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Updated
Dec 8, 2025 - Python
Single-cell analysis in Python. Scales to >100M cells.
Annotated data.
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
rapids_singlecell: GPU-accelerated framework for scRNA analysis
muon is a multimodal omics Python framework
A guide to using a Seurat object in conjunction with RNA Velocity
Multimodal Data (.h5mu) implementation for Python
SGS, is a user-friendly, collaborative and versatile browser for visualizing single-cell and spatial multiomics data.
Multi-agent LLM driven cell type annotation for single-cell RNA-Seq data
Bring your single-cell data to life
Unsupervised Deep Disentangled Representation of Single-Cell Omics
The AnnSQL package enables SQL based queries on AnnData objects.
pseudobulking on an AnnData object
.h5mu files interface for Seurat
Muon for Julia
Create PyTorch Datasets from AnnData
Dataloader for common proteomics search engine outputs into AnnData format
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