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Author:
The scvi-tools development team
License:
BSD 3-Clause License
Copyright (c) 2025, Yosef Lab, Weizmann Institute of Science
All rights reserved.
Redistribution and use in source and binary fo...
Summary:
Deep probabilistic analysis of single-cell omics data.
Latest version:
1.4.1
Required dependencies:
anndata
|
docrep
|
lightning
|
ml-collections
|
mudata
|
numba
|
numpy
|
pandas
|
pyro-ppl
|
rich
|
scanpy
|
scikit-learn
|
scipy
|
sparse
|
tensorboard
|
torch
|
torchmetrics
|
tqdm
|
xarray
Optional dependencies:
biomart
|
biopython
|
boto3
|
captum
|
cell2location
|
cellxgene-census
|
coverage
|
dask
|
dataloaders
|
decoupler
|
docutils
|
dvc
|
fcswrite
|
flax
|
gdown
|
genomepy
|
gputil
|
huggingface-hub
|
hyperopt
|
igraph
|
ipython
|
jax
|
jax-metal
|
jaxlib
|
jupyter
|
lamindb
|
leidenalg
|
matplotlib
|
mlflow
|
muon
|
myst-nb
|
myst-parser
|
numpyro
|
optax
|
plotnine
|
pooch
|
pre-commit
|
psutil
|
pynndescent
|
pytest
|
pytest-pretty
|
ray
|
readfcs
|
scib-metrics
|
scrublet
|
seaborn
|
shap
|
sphinx
|
sphinx-autodoc-typehints
|
sphinx-book-theme
|
sphinx-copybutton
|
sphinx-design
|
sphinx-hoverxref
|
sphinxcontrib-bibtex
|
sphinxext-opengraph
|
squidpy
|
tiledbsoma
|
tiledbsoma-ml
|
torchaudio
|
torchdata
|
torchvision
|
umap-learn
|
zarr
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