numpy>=1.15.*
future>=0.16.*
matplotlib>=3.0.*
scikit-learn<0.24,>=0.21.*
tqdm>=4.20.*
networkx>=2.4
demon>=2.0.5
python-louvain==0.14
nf1
scipy>=1.3.*
omega_index_py3
pulp>=2.1
pquality==0.0.7
seaborn>=0.9.*
pandas>=0.24
eva_lcd
karateclub>=1.0.0
bimlpa
ASLPAw==2.0.0
markov_clustering
chinese_whispers
shuffle_graph==1.1.1
pooch
dynetx

[C]
infomap==1.1.3
python-igraph==0.7.1.post6
leidenalg==0.7.0
angel-cd==1.0.2
wurlitzer>=1.0.2
