requirements.txt

# Enhanced HRV Analysis System - Requirements
# Created for the Valquiria Space Analog Simulation

# Core dependencies
numpy>=1.20.0
pandas>=1.3.0
matplotlib>=3.5.0
scipy>=1.7.0

# For handling WAV files and data processing
# Note: wave is part of the Python standard library, no need to install separately

# For advanced plotting
seaborn>=0.11.0

# Machine learning and preprocessing
scikit-learn>=1.0.0

# For file encoding detection
chardet>=5.2.0

# Optional: For exporting to other formats
openpyxl>=3.0.0  # For Excel export support 

# For Jupyter notebook conversion
nbconvert>=7.16.6

# HRV Analysis
hrv-analysis>=1.0.4

# Enhanced visualization dependencies
plotly>=5.0.0
kaleido>=0.2.1  # For static image export from plotly

# Performance optimization
joblib>=1.0.0  # For parallel processing
numba>=0.56.0  # For JIT compilation and vectorization

# Advanced statistical analysis
statsmodels>=0.13.0  # For mixed-effects models and GAMs
patsy>=0.5.0  # For formula specification in statsmodels

# Machine learning enhancements
umap-learn>=0.5.0  # For dimensionality reduction
hdbscan>=0.8.0  # For density-based clustering

# Time series analysis and forecasting
pmdarima>=2.0.0  # For ARIMA models
prophet>=1.1.0  # For trend forecasting

# Testing framework
pytest>=7.0.0
pytest-cov>=4.0.0  # For coverage reporting

# GUI framework
# Tkinter is part of the system Python (e.g., python3-tk). Do not install via pip.

# Power analysis
pingouin>=0.5.0  # For statistical power analysis

# Entropy and nonlinear analysis
nolds>=0.5.0  # For nonlinear dynamics analysis
antropy>=0.1.0  # For entropy measures