# Python libraries required for the ML component
numpy>=1.21.0
pandas>=1.3.0
scikit-learn>=1.0.0
xgboost>=1.6.0
yfinance>=0.1.87
requests>=2.28.0
packaging>=21.0
skl2onnx>=1.12.0
onnxmltools>=1.12.0
onnxconverter-common>=1.12.0
onnx>=1.12.0

# Production WSGI server (Windows-compatible, pure Python)
waitress>=2.1.2

# Neurobook optimizations (PyTorch for Python 3.14+ compatibility)
torch>=2.0.0
torchvision>=0.15.0
joblib>=1.2.0