aws/amazon-sagemaker-examples

AI DevOps

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

GitHub →Website →

8.1

GitHub Metrics

Stars

11.0k

Forks

7.0k

Open Issues

855

Watchers

285

Contributors

602

Weekly Commits

Language

Jupyter Notebook

License

Apache-2.0

Last Commit

Oct 14, 2026

Created

Oct 23, 2017

Latest Release

v1.0.0

Release Date

Sep 8, 2026

Synced: Oct 17, 2026

Quality Scores

Documentation Qualityw: 20%

8.3

Has docs site (https://sagemaker-examples.readthedocs.io). Description: 129 chars. Stars signal: 10,995. Contributors: 602. Score: 8.3/10

Community Healthw: 20%

8.5

Stars: 10,995. Contributors: 602. Watchers: 285. Forks: 6,955. Issue ratio: 7.8%. Score: 8.5/10

Maintenance Velocityw: 15%

8.2

Last commit: 3d ago. Weekly commits: 1. Latest release: v1.0.0. Maturity bonus: 9.0y old. Score: 8.2/10

API Design & DXw: 20%

6.9

Stars/issues ratio: 13. Has documentation site. Permissive license: Apache-2.0. Popularity signal: 10,995 stars. Score: 6.9/10

Production Readinessw: 15%

8.5

Battle-tested: 10,995 stars. Peer review: 602 contributors. Versioned: v1.0.0. Licensed: Apache-2.0. Age: 9.0 years. Maintenance: last commit 3d ago. Score: 8.5/10

Ecosystem Integrationw: 10%

8.3

Fork interest: 6,955. Ecosystem: Jupyter Notebook. Integration-friendly: Apache-2.0. Adoption: 10,995 stars. Has web presence. Score: 8.3/10