dmlc/xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

28.2k 8.9k +5/wk

GitHub PyPI 2-source

GitHub 📦 PyPI

distributed-systems gbdt gbm gbrt machine-learning xgboost

Trend 21

Star & Fork Trend (25 data points)

Stars

Forks

Multi-Source Signals

weekly Downloads 9.5M

Growth Velocity

dmlc/xgboost has +5 stars this period , with cross-source activity across 2 platforms (github, pypi). 7-day velocity: 0.0%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	xgboost	500-AI-Agents-Projects	storm	fastai
Stars	28.2k	28.1k	28.1k	28.0k
Forks	8.9k	4.9k	2.6k	7.7k
Weekly Growth	+5	+48	+0	-2
Language	C++	N/A	Python	Jupyter Notebook
Sources	2	2	3	3
License	Apache-2.0	MIT	MIT	Apache-2.0

Capability Radar vs 500-AI-Agents-Projects

xgboost

500-AI-Agents-Projects

Maintenance Activity 100

Last code push 0 days ago.

Community Engagement 100

Fork-to-star ratio: 31.4%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 41

+5 stars this period — 0.02% growth rate.

License Clarity 95

Licensed under Apache-2.0. Permissive — safe for commercial use.

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