Comparison
amazon-sagemaker-examples vs Large-Language-Model-Notebooks-Course
Verdict
Pick amazon-sagemaker-examples if jupyter notebooks for illustrating machine learning workflows on Amazon SageMaker; pick Large-Language-Model-Notebooks-Course if a developing, comprehensive hands-on course covering a broad array of LLM tools and applications from OpenAI and Hugging Face.
Markdown twin · amazon-sagemaker-examples alternatives · Large-Language-Model-Notebooks-Course alternatives
GraphCanon updated Sep 20, 2026
11views this month
vs
Large-Language-Model-Notebooks-Course
peremartra/Large-Language-Model-Notebooks-Course
★ 1.8kpushed May 28, 2026
Trust & integrity
| Signal | amazon-sagemaker-examples | Large-Language-Model-Notebooks-Course |
|---|---|---|
| Maintenance | Active (10d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (114d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 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 Jul 11, 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
- Large-Language-Model-Notebooks-Course
- Practical course about Large Language Models
Stars
- amazon-sagemaker-examples
- 11k
- Large-Language-Model-Notebooks-Course
- 1.8k
Forks
- amazon-sagemaker-examples
- 7.0k
- Large-Language-Model-Notebooks-Course
- 450
Open issues
- amazon-sagemaker-examples
- 854
- Large-Language-Model-Notebooks-Course
- 0
Language
- amazon-sagemaker-examples
- Jupyter Notebook
- Large-Language-Model-Notebooks-Course
- Jupyter Notebook
Adopt for
- amazon-sagemaker-examples
- Jupyter notebooks for illustrating machine learning workflows on Amazon SageMaker
- Large-Language-Model-Notebooks-Course
- A developing, comprehensive hands-on course covering a broad array of LLM tools and applications from OpenAI and Hugging Face.
Persona
- amazon-sagemaker-examples
- -
- Large-Language-Model-Notebooks-Course
- -
Runtime
- amazon-sagemaker-examples
- -
- Large-Language-Model-Notebooks-Course
- -
License
- amazon-sagemaker-examples
- Apache-2.0, allowing free use for any purpose with conditions on attribution and license preservation
- Large-Language-Model-Notebooks-Course
- MIT
Last pushed
- amazon-sagemaker-examples
- Sep 9, 2026
- Large-Language-Model-Notebooks-Course
- May 28, 2026
Categories
- amazon-sagemaker-examples
- Inference & Serving, Model Training
- Large-Language-Model-Notebooks-Course
- Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- amazon-sagemaker-examples
- Active (82%)
- Large-Language-Model-Notebooks-Course
- Slowing (36%)
Days since push
- amazon-sagemaker-examples
- 10d
- Large-Language-Model-Notebooks-Course
- 114d
Open issues (now)
- amazon-sagemaker-examples
- 854
- Large-Language-Model-Notebooks-Course
- 0
Stars delta
- amazon-sagemaker-examples
- +6 (30d)
- Large-Language-Model-Notebooks-Course
- +3 (30d)
Open issues delta
- amazon-sagemaker-examples
- +5 (30d)
- Large-Language-Model-Notebooks-Course
- 0 (30d)
Owner type
- amazon-sagemaker-examples
- Organization
- Large-Language-Model-Notebooks-Course
- User
Full report
- amazon-sagemaker-examples
- Trust report
- Large-Language-Model-Notebooks-Course
- Trust report
Choose amazon-sagemaker-examples if…
- License: amazon-sagemaker-examples is Apache-2.0, Large-Language-Model-Notebooks-Course is MIT.
- 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 Large-Language-Model-Notebooks-Course if…
- License: Large-Language-Model-Notebooks-Course is MIT, amazon-sagemaker-examples is Apache-2.0.
- Tags unique to Large-Language-Model-Notebooks-Course: chatbots, fine-tuning-llm, huggingface, langchain.
- Also covers Evaluation & Observability, LLM Frameworks.
- You're seeking an evolving curriculum with projects that apply Large Language Model techniques from various libraries.
When NOT to use Large-Language-Model-Notebooks-Course
- Seeking a complete, finalized course where all content is available for immediate use without future updates.
- Looking exclusively for theory; the course emphasizes practical application over theoretical depth.
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 (peremartra/Large-Language-Model-Notebooks-Course) · observed Sep 20, 2026
- GitHub forks (peremartra/Large-Language-Model-Notebooks-Course) · observed Sep 20, 2026
- Last push (peremartra/Large-Language-Model-Notebooks-Course) · observed May 28, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: amazon-sagemaker-examples 11k · Large-Language-Model-Notebooks-Course 1.8k (synced Sep 20, 2026).
Common questions
- What is the difference between amazon-sagemaker-examples and Large-Language-Model-Notebooks-Course?
- amazon-sagemaker-examples: Jupyter notebooks for building, training, and deploying ML models using Amazon SageMaker. Large-Language-Model-Notebooks-Course: Practical course about Large Language Models. See the comparison table for live GitHub stats and shared categories.
- When should I choose amazon-sagemaker-examples over Large-Language-Model-Notebooks-Course?
- Choose amazon-sagemaker-examples over Large-Language-Model-Notebooks-Course when License: amazon-sagemaker-examples is Apache-2.0, Large-Language-Model-Notebooks-Course is MIT; 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 Large-Language-Model-Notebooks-Course over amazon-sagemaker-examples?
- Choose Large-Language-Model-Notebooks-Course over amazon-sagemaker-examples when License: Large-Language-Model-Notebooks-Course is MIT, amazon-sagemaker-examples is Apache-2.0; Tags unique to Large-Language-Model-Notebooks-Course: chatbots, fine-tuning-llm, huggingface, langchain; Also covers Evaluation & Observability, LLM Frameworks; You're seeking an evolving curriculum with projects that apply Large Language Model techniques from various libraries.
- 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 Large-Language-Model-Notebooks-Course?
- Seeking a complete, finalized course where all content is available for immediate use without future updates. Looking exclusively for theory; the course emphasizes practical application over theoretical depth.
- Is amazon-sagemaker-examples or Large-Language-Model-Notebooks-Course more popular on GitHub?
- amazon-sagemaker-examples has more GitHub stars (10,990 vs 1,824). Stars measure visibility, not whether either tool fits your constraints.
- Are amazon-sagemaker-examples and Large-Language-Model-Notebooks-Course open source?
- Yes - both are open-source projects on GitHub (amazon-sagemaker-examples: Apache-2.0, Large-Language-Model-Notebooks-Course: MIT).
- Where can I find alternatives to amazon-sagemaker-examples or Large-Language-Model-Notebooks-Course?
- GraphCanon lists graph-backed alternatives at amazon-sagemaker-examples alternatives and Large-Language-Model-Notebooks-Course alternatives (amazon-sagemaker-examples markdown twin, Large-Language-Model-Notebooks-Course 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 Large-Language-Model-Notebooks-Course?
- amazon-sagemaker-examples: Active. Large-Language-Model-Notebooks-Course: Slowing. 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 Large-Language-Model-Notebooks-Course?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: amazon-sagemaker-examples trust report; Large-Language-Model-Notebooks-Course trust report.