lightgbm-org/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
LightGBM is a powerful tool for anyone building predictive models. It takes your raw data, learns patterns from it, and generates highly accurate predictions for tasks like ranking items, classifying customers, or forecasting trends. Data scientists and machine learning engineers use LightGBM to quickly develop high-performing models, even with very large datasets.
18,240 stars. Actively maintained with 13 commits in the last 30 days.
Use this if you need to build highly accurate predictive models quickly and efficiently, especially when working with large datasets.
Not ideal if you're looking for a simpler, less customizable machine learning solution or if interpretability of individual tree decisions is your primary concern.
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18,240
Forks
3,998
Language
C++
License
MIT
Category
Last pushed
Apr 10, 2026
Commits (30d)
13
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