numpy>=1.26,<3
pandas>=2.0,<4
scikit-learn>=1.3,<2
tqdm>=4.66,<5
networkx>=3.2,<4
matplotlib>=3.8,<4
torchmetrics>=1.2,<2
biopandas>=0.5,<1
periodictable>=1.6,<3
biopython>=1.83,<2
ipykernel>=6.29,<7
nbconvert>=6.5,<8
ipywidgets>=8,<9