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<0.26,>=0.25
plotly<4.0,>=3.3
pyomo<5.7,>=5.6
ruamel.yaml>=0.16
scikit-learn>=0.22
xarray<0.15,>=0.14
