aws/sagemaker-xgboost-container

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

144 95 +0/wk

GitHub

aws distributed-training gbm inference machine-learning python sagemaker training xgboost

Trend 0

Star & Fork Trend (26 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 144

forks 95

Growth Velocity

aws/sagemaker-xgboost-container has +0 stars this period . 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	sagemaker-xgboost-container	MSML	awesome-AI-kubernetes	Hands-On-Machine-Learning-with-scikit-learn-and-Scientific-Python-Toolkits
Stars	144	144	144	144
Forks	95	29	46	88
Weekly Growth	+0	+1	+0	+1
Language	Python	Jupyter Notebook	N/A	Jupyter Notebook
Sources	1	1	1	1
License	Apache-2.0	Apache-2.0	Apache-2.0	N/A

Capability Radar vs MSML

sagemaker-xgboost-container

MSML

Maintenance Activity 100

Last code push 5 days ago.

Community Engagement 20

Fork-to-star ratio: 66.0%. 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 Apache-2.0. Permissive — safe for commercial use.

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