LI

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.

18.2k 4.0k -2/wk
GitHub PyPI 2-source
data-mining decision-trees distributed gbdt gbm gbrt gradient-boosting kaggle lightgbm machine-learning microsoft parallel
Trend 0

Star & Fork Trend (26 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

lightgbm-org/LightGBM has -2 stars this period , with cross-source activity across 2 platforms (github, pypi). Velocity data will be available after more historical data is collected.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric LightGBM llama-cookbook awesome-nlp parlant
Stars 18.2k 18.3k18.4k17.9k
Forks 4.0k 2.7k2.8k1.5k
Weekly Growth -2 +1+0-1
Language C++ Jupyter NotebookN/APython
Sources 2 311
License MIT MITCC0-1.0Apache-2.0

Capability Radar vs llama-cookbook

LightGBM
llama-cookbook
Maintenance Activity 100

Last code push 1 days ago.

Community Engagement 100

Fork-to-star ratio: 21.9%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.