---
title: "llm-cookbook vs LLM-Engineers-Handbook"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/datawhalechina-llm-cookbook-vs-packtpublishing-llm-engineers-handbook"
tools: ["datawhalechina-llm-cookbook", "packtpublishing-llm-engineers-handbook"]
---

# llm-cookbook vs LLM-Engineers-Handbook

*GraphCanon updated Aug 20, 2026*

## Verdict

Pick llm-cookbook if a Chinese version of Andrew Ng's course series on Large Language Models, tailored for developers looking to understand and get started with LLMs through Jupyter Notebooks; pick LLM-Engineers-Handbook if a comprehensive guide for deploying advanced LLM and RAG apps on AWS using LLMOps best practices.

[llm-cookbook](https://datawhalechina.github.io/llm-cookbook/) reports 25k GitHub stars, 3.0k forks, and 10 open issues, last pushed Jun 12, 2025. [LLM-Engineers-Handbook](https://www.amazon.com/LLM-Engineers-Handbook-engineering-production/dp/1836200072/) has 5.3k stars, 1.3k forks, and 35 open issues, last pushed Apr 22, 2026. Figures are from public GitHub metadata via [llm-cookbook's repository](https://github.com/datawhalechina/llm-cookbook) and [LLM-Engineers-Handbook's repository](https://github.com/PacktPublishing/LLM-Engineers-Handbook).

| | [llm-cookbook](/tools/datawhalechina-llm-cookbook.md) | [LLM-Engineers-Handbook](/tools/packtpublishing-llm-engineers-handbook.md) |
| --- | --- | --- |
| Tagline | 面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版 | LLM's practical guide: From fundamentals to deploying advanced LLM and RAG apps |
| Stars | 24,544 | 5,286 |
| Forks | 2,953 | 1,280 |
| Open issues | 10 | 35 |
| Language | Jupyter Notebook | Python |
| Adopt for | A Chinese version of Andrew Ng's course series on Large Language Models, tailored for developers looking to understand and get started with LLMs through Jupyter Notebooks. | A comprehensive guide for deploying advanced LLM and RAG apps on AWS using LLMOps best practices. |
| Persona | - | - |
| Runtime | - | - |
| License | - | MIT |
| Categories | Developer Tools, LLM Frameworks | Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [llm-cookbook](/tools/datawhalechina-llm-cookbook.md) | [LLM-Engineers-Handbook](/tools/packtpublishing-llm-engineers-handbook.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Slowing (36%) |
| Days since push | 430d | 120d |
| Open issues (now) | 10 | 35 |
| Stars delta | +123 (30d) | +49 (30d) |
| Full report | [trust report](/tools/datawhalechina-llm-cookbook/trust.md) | [trust report](/tools/packtpublishing-llm-engineers-handbook/trust.md) |

## Decision facts: llm-cookbook

- **Adopt for:** A Chinese version of Andrew Ng's course series on Large Language Models, tailored for developers looking to understand and get started with LLMs through Jupyter Notebooks.

## Decision facts: LLM-Engineers-Handbook

- **Pricing:** freemium - The repository itself is free under the MIT license; however, AWS services (like SageMaker and ECR) require paid usage based on your consumption.
- **Requirements:** Min 8 GB RAM; Requires Docker; - Requires Docker for managing local infrastructure.; - Python version 3.11 is required; Poetry should already be installed to manage dependencies.
- **Adopt for:** A comprehensive guide for deploying advanced LLM and RAG apps on AWS using LLMOps best practices.

## Choose when

### Choose llm-cookbook if…

- llm-cookbook is primarily Jupyter Notebook; LLM-Engineers-Handbook is Python.
- Tags unique to llm-cookbook: cookbook, llm.
- - You prefer learning in Chinese or have a better grasp when content is available in Chinese.

### Choose LLM-Engineers-Handbook if…

- LLM-Engineers-Handbook is primarily Python; llm-cookbook is Jupyter Notebook.
- Pricing: The repository itself is free under the MIT license; however, AWS services (like SageMaker and ECR) require paid usage based on your consumption..
- Requirements: Min 8 GB RAM; Requires Docker; - Requires Docker for managing local infrastructure.; - Python version 3.11 is required; Poetry should already be installed to manage dependencies..
- Tags unique to LLM-Engineers-Handbook: aws, fine-tuning-llm, genai, llm-evaluation.
- Also covers Evaluation & Observability, Inference & Serving, Model Training.
- LLM-Engineers-Handbook ships Docker support for self-hosted deployment.
- - You are an engineer looking to deploy large language models (LLMs) or retrieval-augmented generation (RAG) applications specifically in an AWS environment.

## When NOT to use llm-cookbook

- - If you do not require information in Chinese, other English-language resources might be more suitable and plentiful.
- - You are seeking hands-on coding practice without theoretical foundations; this tutorial integrates both theory and practical exercises but leans towards guided learning rather than open-ended coding

## When NOT to use LLM-Engineers-Handbook

- - If your project is not hosted on AWS, as this tool heavily integrates with AWS services like SageMaker, ECR, and S3, making it less suitable for non-AWS cloud providers.
- - You do not want to manage dependencies via Poetry. The guide assumes you are comfortable working within a Poetry-managed environment.

## Common questions

### What is the difference between llm-cookbook and LLM-Engineers-Handbook?

llm-cookbook: 面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版. LLM-Engineers-Handbook: LLM's practical guide: From fundamentals to deploying advanced LLM and RAG apps. See the comparison table for live GitHub stats and shared categories.

### When should I choose llm-cookbook over LLM-Engineers-Handbook?

Choose llm-cookbook over LLM-Engineers-Handbook when llm-cookbook is primarily Jupyter Notebook; LLM-Engineers-Handbook is Python; Tags unique to llm-cookbook: cookbook, llm; - You prefer learning in Chinese or have a better grasp when content is available in Chinese.

### When should I choose LLM-Engineers-Handbook over llm-cookbook?

Choose LLM-Engineers-Handbook over llm-cookbook when LLM-Engineers-Handbook is primarily Python; llm-cookbook is Jupyter Notebook; Pricing: The repository itself is free under the MIT license; however, AWS services (like SageMaker and ECR) require paid usage based on your consumption.; Requirements: Min 8 GB RAM; Requires Docker; - Requires Docker for managing local infrastructure.; - Python version 3.11 is required; Poetry should already be installed to manage dependencies.; Tags unique to LLM-Engineers-Handbook: aws, fine-tuning-llm, genai, llm-evaluation; Also covers Evaluation & Observability, Inference & Serving, Model Training; LLM-Engineers-Handbook ships Docker support for self-hosted deployment; - You are an engineer looking to deploy large language models (LLMs) or retrieval-augmented generation (RAG) applications specifically in an AWS environment.

### When should I avoid llm-cookbook?

- If you do not require information in Chinese, other English-language resources might be more suitable and plentiful. - You are seeking hands-on coding practice without theoretical foundations; this tutorial integrates both theory and practical exercises but leans towards guided learning rather than open-ended coding

### When should I avoid LLM-Engineers-Handbook?

- If your project is not hosted on AWS, as this tool heavily integrates with AWS services like SageMaker, ECR, and S3, making it less suitable for non-AWS cloud providers. - You do not want to manage dependencies via Poetry. The guide assumes you are comfortable working within a Poetry-managed environment.

### Is llm-cookbook or LLM-Engineers-Handbook more popular on GitHub?

llm-cookbook has more GitHub stars (24,544 vs 5,286). Stars measure visibility, not whether either tool fits your constraints.

### Are llm-cookbook and LLM-Engineers-Handbook open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to llm-cookbook or LLM-Engineers-Handbook?

GraphCanon lists graph-backed alternatives at [llm-cookbook alternatives](/tools/datawhalechina-llm-cookbook/alternatives) and [LLM-Engineers-Handbook alternatives](/tools/packtpublishing-llm-engineers-handbook/alternatives) ([llm-cookbook markdown twin](/tools/datawhalechina-llm-cookbook/alternatives.md), [LLM-Engineers-Handbook markdown twin](/tools/packtpublishing-llm-engineers-handbook/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/datawhalechina-llm-cookbook-vs-packtpublishing-llm-engineers-handbook.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, llm-cookbook or LLM-Engineers-Handbook?

llm-cookbook: Dormant. LLM-Engineers-Handbook: 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 llm-cookbook and LLM-Engineers-Handbook?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llm-cookbook trust report](/tools/datawhalechina-llm-cookbook/trust); [LLM-Engineers-Handbook trust report](/tools/packtpublishing-llm-engineers-handbook/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=datawhalechina-llm-cookbook`](/api/graphcanon/graph?tool=datawhalechina-llm-cookbook)
- 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/_