numpy>=1.26,<3
pandas>=2.1,<4
scipy>=1.11,<2
scikit-learn>=1.3,<2
statsmodels>=0.14,<1
xgboost>=2.0,<4
shap>=0.44,<1
matplotlib>=3.8,<4
seaborn>=0.13,<1
joblib>=1.3,<2
rasterio>=1.3,<2
libpysal>=4.10,<5
geopandas>=0.14,<2
pyogrio>=0.7,<1
Pillow>=10,<13
openpyxl>=3.1,<4
