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Scrna Seq Python Packages

Python packages with the GitHub topic scrna-seq. Sorted by relevance, with stars and monthly downloads.
scverse
scvi-tools

Deep probabilistic analysis of single-cell and spatial omics data

86K 2K 466
scverse
muon

muon is a multimodal omics Python framework

30K 273 37
Teichlab
celltypist

A tool for semi-automatic cell type classification

19K 491 59
JonathanShor
doubletdetection

Doublet detection in single-cell RNA-seq data.

12K 98 22
ElliotXie
autozyme

Autonomous multi-agent framework to optimize scientific software

8K 38 1
dpeerlab
palantir

Single cell trajectory detection

8K 324 62
pachterlab
kb-python

A wrapper for the kallisto | bustools workflow for single-cell RNA-seq pre-processing

3K 189 30
lilab-bcb
cirrocumulus

Bring your single-cell data to life

3K 98 17
theislab
scarches

Reference mapping for single-cell genomics

2K 406 70
broadinstitute
tangram-sc

Spatial alignment of single cell transcriptomic data.

2K 370 64
quadbio
cellmapper

k-NN-based mapping of cells across representations to transfer labels, embeddings, and expression values.

2K 16 4
chanzuckerberg
cellxgene

An interactive explorer for single-cell transcriptomics data

2K 780 155
theislab
scgen

Single cell perturbation prediction

2K 353 71
YosefLab
scvi

Deep probabilistic analysis of single-cell and spatial omics data

2K 2K 466
aristoteleo
dynamo-release

Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses

2K 503 60
cbg-ethz
scdef

Deep exponential families for single-cell data.

2K 21 1
eleozzr
desc

Deep Embedding for Single-cell Clustering

2K 89 25
Ekin-Kahraman
rustscenic

Rust and PyO3 implementation of SCENIC-style regulatory-network analysis. Includes GRN, AUCell, topics, cistarget, peak calling, cell QC, enhancer-gene links, and eRegulon assembly. Installs without dask, Java, or CUDA.

1K 11 2
pinellolab
larry-dataset

LARRY Dataset: lineage and RNA recovery

1K 4 1
parashardhapola
scarf

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

1K 118 16
quadbio
scembed

Run embedding comparisons for single-cell data

1K 5 1
quadbio
cell-annotator

Automatically annotate cell types, consistently across samples.

1K 24 2
lingfeiwang
normalisr

Causal inference, differential expression, and co-expression for scRNA-seq

905 21 4
davidrm-bio
dotools-py

Convenient and user-friendly package to streamline common workflows in single-cell RNA sequencing data analysis

897 3 1
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