Metadata-Version: 2.4
Name: the-greatest-athlete-of-all-time
Version: 0.1.0
Summary: An analytical platform that measures athletic superiority across sports using statistical modeling and normalization systems.
Author-email: Huseyin Kucukogul <huseyinkucukogulcontact@gmail.com>
License: MIT License
        
        Copyright (c) 2026 Huseyin
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
        
Project-URL: Homepage, https://github.com/Kucukogul/the-greatest-athlete-of-all-time
Project-URL: Repository, https://github.com/Kucukogul/the-greatest-athlete-of-all-time
Keywords: sports analytics,data science,machine learning,statistics
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas>=2.1.0
Requires-Dist: numpy>=1.26.0
Requires-Dist: scikit-learn>=1.4.0
Requires-Dist: pyyaml>=6.0.0
Requires-Dist: joblib>=1.3.0
Requires-Dist: plotly>=5.20.0
Requires-Dist: streamlit>=1.32.0
Requires-Dist: fastapi>=0.110.0
Requires-Dist: uvicorn[standard]>=0.27.0
Requires-Dist: pydantic>=2.6.0
Requires-Dist: httpx>=0.27.0
Dynamic: license-file

# 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](https://the-greatest-athlete-of-all-time.streamlit.app)**

---

## 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
```

---

## Setup & Run

```bash
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
```

---

## Author

Huseyin Kucukogul · MIT License
