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 →

7.7

GitHub Metrics

Stars

10.9k

Forks

7.0k

Open Issues

845

Watchers

269

Contributors

597

Weekly Commits

Language

Jupyter Notebook

License

Apache-2.0

Last Commit

Apr 10, 2026

Created

Oct 23, 2017

Latest Release

v0.1.0

Release Date

Oct 19, 2020

Synced: Apr 16, 2026

Quality Scores

Documentation Qualityw: 20%

8.3

Has docs site (https://sagemaker-examples.readthedocs.io). Description: 129 chars. Stars signal: 10,904. Contributors: 597. Score: 8.3/10

Community Healthw: 20%

8.5

Stars: 10,904. Contributors: 597. Watchers: 269. Forks: 6,982. Issue ratio: 7.7%. Score: 8.5/10

Maintenance Velocityw: 15%

5.4

Last commit: 6d ago. Weekly commits: 0. Latest release: v0.1.0. Maturity bonus: 8.5y old. Score: 5.4/10

API Design & DXw: 20%

6.9

Stars/issues ratio: 13. Has documentation site. Permissive license: Apache-2.0. Popularity signal: 10,904 stars. Score: 6.9/10

Production Readinessw: 15%

8.5

Battle-tested: 10,904 stars. Peer review: 597 contributors. Versioned: v0.1.0. Licensed: Apache-2.0. Age: 8.5 years. Maintenance: last commit 6d ago. Score: 8.5/10

Ecosystem Integrationw: 10%

8.3

Fork interest: 6,982. Ecosystem: Jupyter Notebook. Integration-friendly: Apache-2.0. Adoption: 10,904 stars. Has web presence. Score: 8.3/10