pandas>=1.1.5,<2.2.0
numpy>=1.19; python_version < '3.8'
numpy>=1.22.2; python_version >= '3.8'
scikit-learn>=0.23.2, <1.4.0
jsonpickle>=2
PyNomaly>=0.3.3

# require for python 3.8+
ipython>=7.15.0; python_version >= '3.8'
ipykernel>=5.3.0; python_version >= '3.8'
ipywidgets>=7.6.5; python_version >= '3.8'

# google colab requirements (python 3.7)
ipython>=5.5.0; python_version < '3.8'
ipykernel>=4.10.1; python_version < '3.8'
ipywidgets>=7.5.0,<8; python_version < '3.8'

typing_extensions>=4.0.0
tqdm>=4.62.3
category-encoders>=2.3.0

importlib_resources>=1.3; python_version < '3.9'
importlib_metadata>=1.4; python_version < '3.8'

# Category encoder depends on old statsmodels version which raises pandas warning. until dependency in category-encoders
# is updated, explicitly add it here
statsmodels>=0.11.0; python_version < '3.7'
statsmodels>=0.13.5; python_version >= '3.7'
# Remove the <=1.10.1 dependency below once sklearn's issue is fixed. The higher version causes
# issues with sklearn's _most_frequent() function using scipy's mode() function
scipy>=1.4.1, <=1.10.1
dataclasses>=0.6; python_version < '3.7'
plotly>=5.13.1
matplotlib>=3.3.4
beautifulsoup4>=4.11.1
requests>=2.22.0
jupyter-server>=2.7.2; python_version >= '3.8' # not directly required, pinned by Snyk to avoid a vulnerability
