# Queue and Redis
redis
rq

# Core dependencies
numpy>=1.24.0
pandas>=2.0.0

# Raster/geo processing
rasterio>=1.3.0
rioxarray>=0.14.0

# STAC data access
pystac-client>=0.7.0
stackstac>=0.4.0
xarray>=2023.1.0

# ML
scikit-learn>=1.3.0
joblib>=1.3.0
scipy>=1.10.0

# Boosting libraries (for model inference)
xgboost>=2.0.0
lightgbm>=4.0.0
catboost>=1.2.0

# AWS/MinIO
boto3>=1.28.0
botocore>=1.31.0

# Optional: progress tracking
tqdm>=4.65.0