ConfigArgParse==0.14.0
cycler==0.10.0
decorator==4.4.0
h5py==2.9.0
joblib==0.13.2
mock==3.0.5
natsort==6.0.0
networkx==2.2
numexpr==2.6.9
pandas==0.24.2
patsy==0.5.1
pyparsing==2.4.0
python-dateutil==2.8.0
pytz==2019.1
seaborn==0.9.0
six==1.12.0
statsmodels==0.9.0
tables==3.5.1
tqdm==4.32.1
umap-learn==0.3.8
scikit-learn==0.19.1
numba==0.45.0
numpy>=1.16.4
scvi==0.4.1
dataclasses==0.6
leidenalg==0.7.0
pytest==5.2.1
prompt-toolkit==2.0.9
torch==1.0.1
