--- title: "amazon-bedrock-samples vs modelz-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aws-samples-amazon-bedrock-samples-vs-tensorchord-modelz-llm" tools: ["aws-samples-amazon-bedrock-samples", "tensorchord-modelz-llm"] --- # amazon-bedrock-samples vs modelz-llm *GraphCanon updated Jul 12, 2026* ## Verdict Pick amazon-bedrock-samples when amazon-bedrock-samples is primarily Jupyter Notebook; modelz-llm is Python; pick modelz-llm when modelz-llm is primarily Python; amazon-bedrock-samples is Jupyter Notebook. [amazon-bedrock-samples](https://aws.amazon.com/bedrock/) reports 1.5k GitHub stars, 701 forks, and 130 open issues, last pushed Jun 30, 2026. [modelz-llm](https://modelz.ai) has 276 stars, 27 forks, and 12 open issues, last pushed Oct 11, 2023. Figures are from public GitHub metadata via [amazon-bedrock-samples's repository](https://github.com/aws-samples/amazon-bedrock-samples) and [modelz-llm's repository](https://github.com/tensorchord/modelz-llm). | | [amazon-bedrock-samples](/tools/aws-samples-amazon-bedrock-samples.md) | [modelz-llm](/tools/tensorchord-modelz-llm.md) | | --- | --- | --- | | Tagline | This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models | OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others) | | Stars | 1,470 | 276 | | Forks | 701 | 27 | | Open issues | 130 | 12 | | Language | Jupyter Notebook | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT-0 | Apache-2.0 | | Categories | LLM Frameworks, Vector Databases | LLM Frameworks, Model Training, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [amazon-bedrock-samples](/tools/aws-samples-amazon-bedrock-samples.md) | [modelz-llm](/tools/tensorchord-modelz-llm.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 11d | 1004d | | Open issues (now) | 130 | 12 | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/aws-samples-amazon-bedrock-samples/trust.md) | [trust report](/tools/tensorchord-modelz-llm/trust.md) | ## Choose when ### Choose amazon-bedrock-samples if… - amazon-bedrock-samples is primarily Jupyter Notebook; modelz-llm is Python. - License: amazon-bedrock-samples is MIT-0, modelz-llm is Apache-2.0. - Tags unique to amazon-bedrock-samples: amazon-bedrock, amazon-titan, bedrock, embeddings. ### Choose modelz-llm if… - modelz-llm is primarily Python; amazon-bedrock-samples is Jupyter Notebook. - License: modelz-llm is Apache-2.0, amazon-bedrock-samples is MIT-0. - Tags unique to modelz-llm: llm, nlp, openai-api, python. - Also covers Model Training. ## When NOT to use amazon-bedrock-samples - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## When NOT to use modelz-llm - Last GitHub push was 1005 days ago (dormant maintenance, Oct 11, 2023). Validate activity before betting a new project on modelz-llm. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between amazon-bedrock-samples and modelz-llm? amazon-bedrock-samples: This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models. modelz-llm: OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others). See the comparison table for live GitHub stats and shared categories. ### When should I choose amazon-bedrock-samples over modelz-llm? Choose amazon-bedrock-samples over modelz-llm when amazon-bedrock-samples is primarily Jupyter Notebook; modelz-llm is Python; License: amazon-bedrock-samples is MIT-0, modelz-llm is Apache-2.0; Tags unique to amazon-bedrock-samples: amazon-bedrock, amazon-titan, bedrock, embeddings. ### When should I choose modelz-llm over amazon-bedrock-samples? Choose modelz-llm over amazon-bedrock-samples when modelz-llm is primarily Python; amazon-bedrock-samples is Jupyter Notebook; License: modelz-llm is Apache-2.0, amazon-bedrock-samples is MIT-0; Tags unique to modelz-llm: llm, nlp, openai-api, python; Also covers Model Training. ### When should I avoid amazon-bedrock-samples? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### When should I avoid modelz-llm? Last GitHub push was 1005 days ago (dormant maintenance, Oct 11, 2023). Validate activity before betting a new project on modelz-llm. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is amazon-bedrock-samples or modelz-llm more popular on GitHub? amazon-bedrock-samples has more GitHub stars (1,470 vs 276). Stars measure visibility, not whether either tool fits your constraints. ### Are amazon-bedrock-samples and modelz-llm open source? Yes - both are open-source projects on GitHub (amazon-bedrock-samples: MIT-0, modelz-llm: Apache-2.0). ### Where can I find alternatives to amazon-bedrock-samples or modelz-llm? GraphCanon lists graph-backed alternatives at [amazon-bedrock-samples alternatives](/tools/aws-samples-amazon-bedrock-samples/alternatives) and [modelz-llm alternatives](/tools/tensorchord-modelz-llm/alternatives) ([amazon-bedrock-samples markdown twin](/tools/aws-samples-amazon-bedrock-samples/alternatives.md), [modelz-llm markdown twin](/tools/tensorchord-modelz-llm/alternatives.md)), 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](/compare/aws-samples-amazon-bedrock-samples-vs-tensorchord-modelz-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, amazon-bedrock-samples or modelz-llm? amazon-bedrock-samples: Active. modelz-llm: Dormant. 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-bedrock-samples and modelz-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [amazon-bedrock-samples trust report](/tools/aws-samples-amazon-bedrock-samples/trust); [modelz-llm trust report](/tools/tensorchord-modelz-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aws-samples-amazon-bedrock-samples`](/api/graphcanon/graph?tool=aws-samples-amazon-bedrock-samples) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_