# Core dependencies
numpy>=1.24.0
pandas>=2.0.0
networkx>=3.1
scipy>=1.10.0
scikit-learn>=1.3.0

# Graph analysis
python-igraph>=0.10.0
# graph-tool>=2.45  # Optional: requires system dependencies, install separately if needed
node2vec>=0.4.6

# Machine Learning
torch>=2.0.0
torch-geometric>=2.3.0
transformers>=4.30.0
sentence-transformers>=2.2.0

# NLP
nltk>=3.8.1
spacy>=3.5.0
bertopic>=0.15.0
gensim>=4.3.0

# Visualization
matplotlib>=3.7.0
seaborn>=0.12.0
plotly>=5.14.0
pyvis>=0.3.2
dash>=2.10.0
dash-bootstrap-components>=1.4.0

# Temporal analysis
ruptures>=1.1.8
# ts2net>=0.7.0  # Optional: time series to network conversion

# API
flask>=2.3.0
flask-cors>=4.0.0
gunicorn>=21.0.0

# Data processing
python-dateutil>=2.8.2
pytz>=2023.3
polars>=0.19.0
pyarrow>=12.0.0
fastparquet>=2023.4.0
numba>=0.58.0

# Utilities
python-dotenv>=1.0.0
pyyaml>=6.0
tqdm>=4.65.0
joblib>=1.3.0

# Testing
pytest>=7.0.0
pytest-cov>=4.0.0

# Code Quality
black>=23.0.0
flake8>=6.0.0

# Examples and Documentation
faker>=19.0.0
jupyter>=1.0.0

# Examples
faker>=19.0.0
jupyter>=1.0.0

