requirements.txt

# NIDS-ML Requirements
# Network Intrusion Detection System using Machine Learning
# Python 3.10+

# Core Data Science Libraries
numpy>=1.24.0
pandas>=2.0.0
scipy>=1.10.0

# Machine Learning - Traditional
scikit-learn>=1.3.0
xgboost>=2.0.0
imbalanced-learn>=0.11.0

# Deep Learning (Choose one or both)
tensorflow>=2.13.0
# torch>=2.0.0
# torchvision>=0.15.0

# Explainable AI
shap>=0.42.0

# Network & Packet Capture
scapy>=2.5.0

# Visualization
matplotlib>=3.7.0
seaborn>=0.12.0
plotly>=5.14.0

# Dashboard
streamlit>=1.25.0

# Utilities
joblib>=1.3.0
python-dotenv>=1.0.0

# Logging & Monitoring
tqdm>=4.65.0

# Data Processing
pyarrow>=12.0.0

# Optional: for advanced features
# lightgbm>=4.0.0
# catboost>=1.2.0
# optuna>=3.2.0  # for hyperparameter optimization

# Development Tools (Optional)
# jupyter>=1.0.0
# ipykernel>=6.25.0
# black>=23.7.0
# flake8>=6.1.0
# pytest>=7.4.0