Comparison
amazon-sagemaker-examples vs generative-ai
Verdict
Pick amazon-sagemaker-examples if jupyter notebooks for illustrating machine learning workflows on Amazon SageMaker; pick generative-ai if the 'generative-ai' repository offers sample code and notebooks for developing and managing generative AI workflows with Google Cloud's Generative AI and Gemini Enterprise Agent Platform.
Markdown twin · amazon-sagemaker-examples alternatives · generative-ai alternatives
GraphCanon updated Sep 20, 2026
11views this month
vs
Trust & integrity
| Signal | amazon-sagemaker-examples | generative-ai |
|---|---|---|
| Maintenance | Active (10d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- amazon-sagemaker-examples
- Jupyter notebooks for building, training, and deploying ML models using Amazon SageMaker
- generative-ai
- Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
Stars
- amazon-sagemaker-examples
- 11k
- generative-ai
- 18k
Forks
- amazon-sagemaker-examples
- 7.0k
- generative-ai
- 4.5k
Open issues
- amazon-sagemaker-examples
- 854
- generative-ai
- 90
Language
- amazon-sagemaker-examples
- Jupyter Notebook
- generative-ai
- Jupyter Notebook
Adopt for
- amazon-sagemaker-examples
- Jupyter notebooks for illustrating machine learning workflows on Amazon SageMaker
- generative-ai
- The 'generative-ai' repository offers sample code and notebooks for developing and managing generative AI workflows with Google Cloud's Generative AI and Gemini Enterprise Agent Platform.
Persona
- amazon-sagemaker-examples
- -
- generative-ai
- -
Runtime
- amazon-sagemaker-examples
- -
- generative-ai
- -
License
- amazon-sagemaker-examples
- Apache-2.0, allowing free use for any purpose with conditions on attribution and license preservation
- generative-ai
- Apache-2.0
Last pushed
- amazon-sagemaker-examples
- Sep 9, 2026
- generative-ai
- Sep 17, 2026
Categories
- amazon-sagemaker-examples
- Inference & Serving, Model Training
- generative-ai
- AI Agents, Data & Retrieval, Developer Tools, Inference & Serving, Model Training
Trust and health
Maintenance
- amazon-sagemaker-examples
- Active (82%)
- generative-ai
- Very active (96%)
Days since push
- amazon-sagemaker-examples
- 10d
- generative-ai
- 0d
Open issues (now)
- amazon-sagemaker-examples
- 854
- generative-ai
- 90
Stars delta
- amazon-sagemaker-examples
- +6 (30d)
- generative-ai
- +132 (30d)
Open issues delta
- amazon-sagemaker-examples
- +5 (30d)
- generative-ai
- +3 (30d)
Full report
- amazon-sagemaker-examples
- Trust report
- generative-ai
- Trust report
Choose amazon-sagemaker-examples if…
- Tags unique to amazon-sagemaker-examples: aws, data-science, deep-learning, inference.
- When you need examples specific to building models with Amazon SageMaker
When NOT to use amazon-sagemaker-examples
- For non-AWS environments where cost and integration complexities could outweigh benefits
- If seeking open-source tools without ties to a single cloud provider
Choose generative-ai if…
- Tags unique to generative-ai: agents, gcp, gemini, gemini-api.
- Also covers AI Agents, Data & Retrieval, Developer Tools.
- When you need to leverage the latest Gemini models, such as Gemini 3.8 Flash, for generative AI tasks on Google Cloud.
When NOT to use generative-ai
- If you are looking for a platform that supports a wide range of cloud providers beyond Google Cloud.
- When your project does not require the specific features of the Gemini models or the Gemini Enterprise Agent Platform.
- If your project does not benefit from Google-managed solutions like Agent Search and you prefer to build everything from scratch.
- When you do not need the integration capabilities with Google Cloud services such as Vertex AI and the Gemini Enterprise Agent Platform.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (aws/amazon-sagemaker-examples) · observed Sep 20, 2026
- GitHub forks (aws/amazon-sagemaker-examples) · observed Sep 20, 2026
- Last push (aws/amazon-sagemaker-examples) · observed Sep 9, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (GoogleCloudPlatform/generative-ai) · observed Sep 20, 2026
- GitHub forks (GoogleCloudPlatform/generative-ai) · observed Sep 20, 2026
- Last push (GoogleCloudPlatform/generative-ai) · observed Sep 17, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: amazon-sagemaker-examples 11k · generative-ai 18k (synced Sep 20, 2026).
Common questions
- What is the difference between amazon-sagemaker-examples and generative-ai?
- amazon-sagemaker-examples: Jupyter notebooks for building, training, and deploying ML models using Amazon SageMaker. generative-ai: Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform. See the comparison table for live GitHub stats and shared categories.
- When should I choose amazon-sagemaker-examples over generative-ai?
- Choose amazon-sagemaker-examples over generative-ai when Tags unique to amazon-sagemaker-examples: aws, data-science, deep-learning, inference; When you need examples specific to building models with Amazon SageMaker.
- When should I choose generative-ai over amazon-sagemaker-examples?
- Choose generative-ai over amazon-sagemaker-examples when Tags unique to generative-ai: agents, gcp, gemini, gemini-api; Also covers AI Agents, Data & Retrieval, Developer Tools; When you need to leverage the latest Gemini models, such as Gemini 3.8 Flash, for generative AI tasks on Google Cloud.
- When should I avoid amazon-sagemaker-examples?
- For non-AWS environments where cost and integration complexities could outweigh benefits If seeking open-source tools without ties to a single cloud provider
- When should I avoid generative-ai?
- If you are looking for a platform that supports a wide range of cloud providers beyond Google Cloud. When your project does not require the specific features of the Gemini models or the Gemini Enterprise Agent Platform. If your project does not benefit from Google-managed solutions like Agent Search and you prefer to build everything from scratch. When you do not need the integration capabilities with Google Cloud services such as Vertex AI and the Gemini Enterprise Agent Platform.
- Is amazon-sagemaker-examples or generative-ai more popular on GitHub?
- generative-ai has more GitHub stars (17,726 vs 10,990). Stars measure visibility, not whether either tool fits your constraints.
- Are amazon-sagemaker-examples and generative-ai open source?
- Yes - both are open-source projects on GitHub (amazon-sagemaker-examples: Apache-2.0, generative-ai: Apache-2.0).
- Where can I find alternatives to amazon-sagemaker-examples or generative-ai?
- GraphCanon lists graph-backed alternatives at amazon-sagemaker-examples alternatives and generative-ai alternatives (amazon-sagemaker-examples markdown twin, generative-ai markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, amazon-sagemaker-examples or generative-ai?
- amazon-sagemaker-examples: Active. generative-ai: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for amazon-sagemaker-examples and generative-ai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: amazon-sagemaker-examples trust report; generative-ai trust report.