Comparison
amazon-sagemaker-examples vs FastChat
Verdict
Pick amazon-sagemaker-examples when amazon-sagemaker-examples is primarily Jupyter Notebook; FastChat is Python; pick FastChat when fastChat is primarily Python; amazon-sagemaker-examples is Jupyter Notebook.
Markdown twin · amazon-sagemaker-examples alternatives · FastChat alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | amazon-sagemaker-examples | FastChat |
|---|---|---|
| Maintenance | Active (7d since push) As of today · github_public_v1 | Steady (74d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | No lockfile (source not queried) As of 4d · 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
- Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
- FastChat
- An open platform for training, serving, and evaluating large language models
Stars
- amazon-sagemaker-examples
- 11k
- FastChat
- 39k
Forks
- amazon-sagemaker-examples
- 7.0k
- FastChat
- 4.8k
Open issues
- amazon-sagemaker-examples
- 849
- FastChat
- 1.0k
Language
- amazon-sagemaker-examples
- Jupyter Notebook
- FastChat
- Python
Adopt for
- amazon-sagemaker-examples
- -
- FastChat
- FastChat is a comprehensive open platform for managing large language models (LLMs) that includes capabilities for training, serving, evaluating, and comparing chatbot models via web UIs and RESTful APIs. It powers ChatB
Persona
- amazon-sagemaker-examples
- -
- FastChat
- -
Runtime
- amazon-sagemaker-examples
- -
- FastChat
- -
License
- amazon-sagemaker-examples
- Apache-2.0
- FastChat
- Apache-2.0
Last pushed
- amazon-sagemaker-examples
- Jul 7, 2026
- FastChat
- May 1, 2026
Categories
- amazon-sagemaker-examples
- Inference & Serving, Model Training
- FastChat
- Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- amazon-sagemaker-examples
- Active (82%)
- FastChat
- Steady (60%)
Days since push
- amazon-sagemaker-examples
- 7d
- FastChat
- 74d
Open issues (now)
- amazon-sagemaker-examples
- 849
- FastChat
- 1.0k
Full report
- amazon-sagemaker-examples
- Trust report
- FastChat
- Trust report
Choose amazon-sagemaker-examples if…
- amazon-sagemaker-examples is primarily Jupyter Notebook; FastChat is Python.
- Tags unique to amazon-sagemaker-examples: aws, data-science, deep-learning, examples.
- More recently updated (last pushed Jul 7, 2026).
When NOT to use amazon-sagemaker-examples
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose FastChat if…
- FastChat is primarily Python; amazon-sagemaker-examples is Jupyter Notebook.
- Tags unique to FastChat: chatbots, distributed-serving, evaluation system, large-language-models.
- Also covers Evaluation & Observability, LLM Frameworks.
- - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
When NOT to use FastChat
- - You require a proprietary or closed-source framework; FastChat is open-source under Apache-2.0 license and its use might be unsuitable for environments requiring proprietary solutions.
- - Your chatbot evaluation needs do not align with the types of data used in FastChat's datasets (e.g., human votes, MT-Bench evaluations).
- - You prefer a more user-friendly setup without the need to clone a repository and manually install dependencies; FastChat requires installation from source with additional steps for Rust and CMake on
- + Mac.
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 Jul 15, 2026
- GitHub forks (aws/amazon-sagemaker-examples) · observed Jul 15, 2026
- Last push (aws/amazon-sagemaker-examples) · observed Jul 7, 2026
- License file (Apache-2.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (lm-sys/FastChat) · observed Jul 14, 2026
- GitHub forks (lm-sys/FastChat) · observed Jul 14, 2026
- Last push (lm-sys/FastChat) · observed May 1, 2026
- License file (Apache-2.0) · observed Jul 14, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: amazon-sagemaker-examples 11k · FastChat 39k (synced Jul 15, 2026).
Common questions
- What is the difference between amazon-sagemaker-examples and FastChat?
- amazon-sagemaker-examples: Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.. FastChat: An open platform for training, serving, and evaluating large language models. See the comparison table for live GitHub stats and shared categories.
- When should I choose amazon-sagemaker-examples over FastChat?
- Choose amazon-sagemaker-examples over FastChat when amazon-sagemaker-examples is primarily Jupyter Notebook; FastChat is Python; Tags unique to amazon-sagemaker-examples: aws, data-science, deep-learning, examples; More recently updated (last pushed Jul 7, 2026).
- When should I choose FastChat over amazon-sagemaker-examples?
- Choose FastChat over amazon-sagemaker-examples when FastChat is primarily Python; amazon-sagemaker-examples is Jupyter Notebook; Tags unique to FastChat: chatbots, distributed-serving, evaluation system, large-language-models; Also covers Evaluation & Observability, LLM Frameworks; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
- When should I avoid amazon-sagemaker-examples?
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- When should I avoid FastChat?
- - You require a proprietary or closed-source framework; FastChat is open-source under Apache-2.0 license and its use might be unsuitable for environments requiring proprietary solutions. - Your chatbot evaluation needs do not align with the types of data used in FastChat's datasets (e.g., human votes, MT-Bench evaluations). - You prefer a more user-friendly setup without the need to clone a repository and manually install dependencies; FastChat requires installation from source with additional steps for Rust and CMake on + Mac.
- Is amazon-sagemaker-examples or FastChat more popular on GitHub?
- FastChat has more GitHub stars (39,494 vs 10,971). Stars measure visibility, not whether either tool fits your constraints.
- Are amazon-sagemaker-examples and FastChat open source?
- Yes - both are open-source projects on GitHub (amazon-sagemaker-examples: Apache-2.0, FastChat: Apache-2.0).
- Where can I find alternatives to amazon-sagemaker-examples or FastChat?
- GraphCanon lists graph-backed alternatives at amazon-sagemaker-examples alternatives and FastChat alternatives (amazon-sagemaker-examples markdown twin, FastChat 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 FastChat?
- amazon-sagemaker-examples: Active. FastChat: Steady. 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 FastChat?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: amazon-sagemaker-examples trust report; FastChat trust report.