lightgbm ☆
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Description:
Fast, distributed, high performance gradient boosting framework
Type: Formula  |  Tracked Since: Dec 28, 2025
Links: Homepage  |  @Microsoft  |  formulae.brew.sh
Category: Ai ml
Tags: machine-learning gradient-boosting ai data-science ml
Install: brew install lightgbm
About:
LightGBM is a gradient boosting framework that uses tree-based learning algorithms. It is designed to be distributed and efficient with faster training speed, lower memory usage, and better accuracy. It supports parallel and GPU learning and handles large-scale data effectively.
Key Features:
  • Leaf-wise (best-first) growth for higher accuracy
  • Parallel and GPU learning support
  • Low memory usage and high efficiency
  • Handles large-scale and sparse data
Use Cases:
  • Machine learning competitions and Kaggle
  • Click-through rate prediction
  • Risk modeling and fraud detection
  • Recommendation systems
Alternatives:
  • XGBoost – Similar performance; XGBoost uses level-wise tree growth and is more widely known
  • CatBoost – Excels at handling categorical features natively without preprocessing
Version History
Detected Version Rev Change Commit
Sep 16, 2025 7:08am 0 VERSION_BUMP dd759c5f
Oct 5, 2024 10:38pm 0 VERSION_BUMP d1a0cf50
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