bottleneck>=1.2
click<8,>=7
ipython>=7
ipdb>=0.11
jinja2>=2.10
natsort>=5
netcdf4>=1.2.2
numexpr>=2.3.1
numpy>=1.15
pandas<0.25,>=0.24
plotly<4.0,>=3.3
pyomo<5.7,>=5.6
ruamel.yaml<0.16,>=0.15.71
scikit-learn<0.21,>=0.20
xarray<0.13,>=0.12
