sports-betting and Sports-Betting-ML-Tools-NBA

These are competitors offering overlapping functionality for NBA prediction and sports betting ML, with A being significantly more mature and actively maintained while B appears abandoned, making A the stronger choice for production use.

Maintenance 10/25
Adoption 17/25
Maturity 25/25
Community 24/25
Maintenance 0/25
Adoption 9/25
Maturity 8/25
Community 17/25
Stars: 670
Forks: 126
Downloads: 733
Commits (30d): 0
Language: Python
License: MIT
Stars: 88
Forks: 16
Downloads:
Commits (30d): 0
Language: Python
License:
No risk flags
No License Stale 6m No Package No Dependents

About sports-betting

georgedouzas/sports-betting

Collection of sports betting AI tools.

Provides dataloaders for fetching historical sports data and fixtures, combined with scikit-learn-compatible bettor classifiers for backtesting strategies and identifying value bets. The architecture separates data ingestion from model evaluation, enabling systematic probability estimation against bookmaker odds. Accessible via Python API, CLI, and a Reflex-based GUI for interactive model development and backtesting workflows.

About Sports-Betting-ML-Tools-NBA

nealmick/Sports-Betting-ML-Tools-NBA

NBA Machine Learning Tools

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