the-greatest-athlete-of-all-time 0.1.0

An analytical platform that measures athletic superiority across sports using statistical modeling and normalization systems.

The Greatest Athlete of All Time

An analytical platform that measures athletic superiority across sports using statistical modeling and normalization systems.

Live demo → the-greatest-athlete-of-all-time.streamlit.app

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Folder Structure

the-greatest-athlete-of-all-time/
│
├── src/
│   ├── data/         # DataLoader, validators
│   ├── features/     # Normalization, era adjustment
│   ├── models/       # BaseAthleteModel
│   ├── scoring/      # AthleteScorer, ScoringConfig
│   ├── normalize/    # Sport-specific normalizers
│   ├── pipelines/    # Data transformation pipelines
│   ├── visualization/# Plotly chart functions
│   └── utils/        # Lightweight helpers
│
├── dashboards/
│   └── app.py        # Streamlit dashboard
│
├── notebooks/
│   ├── exploration/  # EDA, one-off analysis
│   └── experiments/  # Scoring experiments
│
├── tests/
│   ├── unit/
│   ├── regression/
│   ├── fixtures/
│   └── conftest.py
│
├── configs/
│   └── scoring_tennis.yaml
│
├── requirements.txt
└── main.py

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Setup & Run

python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

streamlit run dashboards/app.py   # dashboard
uvicorn src.api.main:app --reload  # API
python main.py                     # pipeline
pytest tests/ -v --cov=src         # tests

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Author

Huseyin Kucukogul · MIT License