bball 0.1.2

NBA analytics platform with core models and utilities

bball

Comprehensive NBA analytics platform for Python.

Features

• Core Models - Pydantic models for Players, Teams, Games, and Stats
• Advanced Analytics - Calculate true shooting %, PER, win shares, and more
• Data Fetching - Integration with NBA stats API
• CLI Tools - Command-line interface for quick analysis
• API Server - REST and GraphQL endpoints for your applications
• Reporting - Generate visualizations and reports
• Type Safe - Full type hints and runtime validation

Installation

# Install everything
pip install bball[all]

# Or install specific components
pip install bball              # Just core models and utilities
pip install bball[cli]         # Core + CLI
pip install bball[analytics]   # Core + data, strategies, reports
pip install bball[api]         # Core + API server

Quick Start

from bball import Player, Team, Game, Stats

# Create a player
player = Player(
    id="203999",
    name="Nikola Jokic",
    team_id="DEN",
    position="C",
    height=83,
    weight=284,
    jersey_number=15
)

# Work with stats
from bball import calculate_advanced_stats

stats = Stats(
    points=25.0,
    rebounds=12.0,
    assists=9.0,
    field_goals_made=10,
    field_goals_attempted=18,
    # ... more stats
)

advanced = calculate_advanced_stats(stats)
print(f"True Shooting %: {advanced['true_shooting_pct']:.3f}")

Package Ecosystem

The bball ecosystem consists of a core package and optional extensions:

Package	Description	Install
bball	Core models and utilities	pip install bball
bball-cli	Command-line interface	pip install bball[cli]
bball-api	REST/GraphQL API server	pip install bball[api]
bball-data	Data fetching and processing	pip install bball[data]
bball-strategies	Analysis strategies and ML models	pip install bball[strategies]
bball-reports	Report generation and visualization	pip install bball[reports]

CLI Usage

# After installing bball[cli]
bball info              # Show installed components
bball version           # Show version information

Development

This project uses modern Python tooling and requires Python 3.13+.

# Clone the repository
git clone https://github.com/bball-dev/bball.git
cd bball

# Install uv package manager
curl -LsSf https://astral.sh/uv/install.sh | sh

# Install all packages in development mode
# This automatically installs Python 3.13 and all dependencies
uv sync --all-packages

# Run tests
uv run pytest

# Run code quality checks
uv run ruff check src/ packages/
uv run ruff format src/ packages/
uv run pyright src/ packages/

For detailed development documentation, see docs/development.md.

Documentation

• Development Guide - Complete guide for contributors
• API Documentation - Full API reference
• Examples - Usage examples and tutorials

Contributing

Contributions are welcome! Please see our development guide for:

• Architecture overview
• Development workflow
• Testing strategy
• Publishing process

Quick Contribution Guide

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Make your changes
4. Run tests and quality checks (uv run pytest && uv run ruff check)
5. Commit your changes (git commit -m 'Add amazing feature')
6. Push to your branch (git push origin feature/amazing-feature)
7. Open a Pull Request

Requirements

• Python 3.13+
• See pyproject.toml for package-specific dependencies

Links

• Homepage: https://bball.dev
• Documentation: https://docs.bball.dev
• Repository: https://github.com/bball-dev/bball
• Issue Tracker: https://github.com/bball-dev/bball/issues
• PyPI: https://pypi.org/project/bball/

Credits

Built with:

• uv - Fast Python package manager
• Pydantic - Data validation
• FastAPI - API framework
• Typer - CLI framework