| # --- Core Streamlit & Python essentials --- | |
| streamlit | |
| pandas | |
| numpy | |
| matplotlib | |
| seaborn | |
| joblib | |
| scikit-learn | |
| optuna | |
| shap | |
| # --- Gradient-Boosted Tree Libraries --- | |
| xgboost | |
| lightgbm | |
| catboost | |
| # --- Deep & Hybrid Tabular Models (optional but recommended) --- | |
| torch | |
| pytorch-tabular | |
| tabpfn | |
| # --- Model stacking & utilities --- | |
| scipy | |
| tqdm | |
| plotly | |
| # --- PDF and report generation --- | |
| fpdf | |
| # --- Optional for advanced visualization --- | |
| altair | |
| plotnine | |
| # --- Safety / compatibility --- | |
| typing-extensions |