--- title: "Hands-On-Large-Language-Models vs LLMBook-zh.github.io" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/handsonllm-hands-on-large-language-models-vs-llmbook-zh-llmbook-zh-github-io" tools: ["handsonllm-hands-on-large-language-models", "llmbook-zh-llmbook-zh-github-io"] --- # Hands-On-Large-Language-Models vs LLMBook-zh.github.io *GraphCanon updated Aug 17, 2026* ## Verdict Pick Hands-On-Large-Language-Models if consider using the 'Hands-On-Large-Language-Models' repository if your interest aligns with hands-on learning and practice of large language models through coding examples; pick LLMBook-zh.github.io if lLMBook-zh.github.io is a comprehensive guide on Large Language Models (LLMs) written in Chinese, ideal for Chinese-speaking beginners seeking to understand LLMs deeply. [Hands-On-Large-Language-Models](https://www.llm-book.com/) reports 28k GitHub stars, 6.5k forks, and 38 open issues, last pushed Apr 24, 2026. [LLMBook-zh.github.io](https://llmbook-zh.github.io/) has 4.5k stars, 346 forks, and 13 open issues, last pushed Sep 2, 2025. Figures are from public GitHub metadata via [Hands-On-Large-Language-Models's repository](https://github.com/HandsOnLLM/Hands-On-Large-Language-Models) and [LLMBook-zh.github.io's repository](https://github.com/LLMBook-zh/LLMBook-zh.github.io). | | [Hands-On-Large-Language-Models](/tools/handsonllm-hands-on-large-language-models.md) | [LLMBook-zh.github.io](/tools/llmbook-zh-llmbook-zh-github-io.md) | | --- | --- | --- | | Tagline | Official code repo for the O'Reilly Book - 'Hands-On Large Language Models' | 《大语言模型》全面介绍大模型技术的知识，适合初学者作为参考 | | Stars | 28,252 | 4,539 | | Forks | 6,531 | 346 | | Open issues | 38 | 13 | | Language | Jupyter Notebook | Python | | Adopt for | Consider using the 'Hands-On-Large-Language-Models' repository if your interest aligns with hands-on learning and practice of large language models through coding examples. | LLMBook-zh.github.io is a comprehensive guide on Large Language Models (LLMs) written in Chinese, ideal for Chinese-speaking beginners seeking to understand LLMs deeply. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 License | - | | Categories | LLM Frameworks, Model Training | Developer Tools, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Hands-On-Large-Language-Models](/tools/handsonllm-hands-on-large-language-models.md) | [LLMBook-zh.github.io](/tools/llmbook-zh-llmbook-zh-github-io.md) | | --- | --- | --- | | Days since push | 114d | 349d | | Open issues (now) | 38 | 13 | | Stars delta | +642 (30d) | +13 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/handsonllm-hands-on-large-language-models/trust.md) | [trust report](/tools/llmbook-zh-llmbook-zh-github-io/trust.md) | ## Decision facts: Hands-On-Large-Language-Models - **Pricing:** freemium - The repository is free and open under the Apache-2.0 license. - **Requirements:** - Access to Jupyter Notebook is required for running code examples provided in this repository.; - Fundamental understanding of large language models and familiarity with AI concepts would be beneficial. - **Adopt for:** Consider using the 'Hands-On-Large-Language-Models' repository if your interest aligns with hands-on learning and practice of large language models through coding examples. - **License detail:** Apache-2.0 License ## Decision facts: LLMBook-zh.github.io - **Adopt for:** LLMBook-zh.github.io is a comprehensive guide on Large Language Models (LLMs) written in Chinese, ideal for Chinese-speaking beginners seeking to understand LLMs deeply. ## Choose when ### Choose Hands-On-Large-Language-Models if… - Hands-On-Large-Language-Models is primarily Jupyter Notebook; LLMBook-zh.github.io is Python. - Pricing: The repository is free and open under the Apache-2.0 license.. - Requirements: - Access to Jupyter Notebook is required for running code examples provided in this repository.; - Fundamental understanding of large language models and familiarity with AI concepts would be beneficial.. - Tags unique to Hands-On-Large-Language-Models: book, llm, llms, oreilly. - - You are focusing on practical implementation aspects detailed in a structured format as outlined by O'Reilly's authoritative book. ### Choose LLMBook-zh.github.io if… - LLMBook-zh.github.io is primarily Python; Hands-On-Large-Language-Models is Jupyter Notebook. - Tags unique to LLMBook-zh.github.io: deep-learning, deep-neural-networks, fine-tuning, language-model. - Also covers Developer Tools. - When looking for detailed explanations of LLM technologies written in Chinese ## When NOT to use Hands-On-Large-Language-Models - - If you need real-time model evaluation tools rather than educational materials, as this repository primarily provides code for understanding and implementing concepts covered in a book. - - You are seeking proprietary or more specialized frameworks that go beyond the examples provided in an educational context to meet specific, advanced use-case needs. ## When NOT to use LLMBook-zh.github.io - If your primary language is not Chinese and you seek immediate practical application - For advanced researchers preferring the latest, cutting-edge research without detailed foundational explanations ## Common questions ### What is the difference between Hands-On-Large-Language-Models and LLMBook-zh.github.io? Hands-On-Large-Language-Models: Official code repo for the O'Reilly Book - 'Hands-On Large Language Models'. LLMBook-zh.github.io: 《大语言模型》全面介绍大模型技术的知识，适合初学者作为参考. See the comparison table for live GitHub stats and shared categories. ### When should I choose Hands-On-Large-Language-Models over LLMBook-zh.github.io? Choose Hands-On-Large-Language-Models over LLMBook-zh.github.io when Hands-On-Large-Language-Models is primarily Jupyter Notebook; LLMBook-zh.github.io is Python; Pricing: The repository is free and open under the Apache-2.0 license.; Requirements: - Access to Jupyter Notebook is required for running code examples provided in this repository.; - Fundamental understanding of large language models and familiarity with AI concepts would be beneficial.; Tags unique to Hands-On-Large-Language-Models: book, llm, llms, oreilly; - You are focusing on practical implementation aspects detailed in a structured format as outlined by O'Reilly's authoritative book. ### When should I choose LLMBook-zh.github.io over Hands-On-Large-Language-Models? Choose LLMBook-zh.github.io over Hands-On-Large-Language-Models when LLMBook-zh.github.io is primarily Python; Hands-On-Large-Language-Models is Jupyter Notebook; Tags unique to LLMBook-zh.github.io: deep-learning, deep-neural-networks, fine-tuning, language-model; Also covers Developer Tools; When looking for detailed explanations of LLM technologies written in Chinese. ### When should I avoid Hands-On-Large-Language-Models? - If you need real-time model evaluation tools rather than educational materials, as this repository primarily provides code for understanding and implementing concepts covered in a book. - You are seeking proprietary or more specialized frameworks that go beyond the examples provided in an educational context to meet specific, advanced use-case needs. ### When should I avoid LLMBook-zh.github.io? If your primary language is not Chinese and you seek immediate practical application For advanced researchers preferring the latest, cutting-edge research without detailed foundational explanations ### Is Hands-On-Large-Language-Models or LLMBook-zh.github.io more popular on GitHub? Hands-On-Large-Language-Models has more GitHub stars (28,252 vs 4,539). Stars measure visibility, not whether either tool fits your constraints. ### Are Hands-On-Large-Language-Models and LLMBook-zh.github.io open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to Hands-On-Large-Language-Models or LLMBook-zh.github.io? GraphCanon lists graph-backed alternatives at [Hands-On-Large-Language-Models alternatives](/tools/handsonllm-hands-on-large-language-models/alternatives) and [LLMBook-zh.github.io alternatives](/tools/llmbook-zh-llmbook-zh-github-io/alternatives) ([Hands-On-Large-Language-Models markdown twin](/tools/handsonllm-hands-on-large-language-models/alternatives.md), [LLMBook-zh.github.io markdown twin](/tools/llmbook-zh-llmbook-zh-github-io/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/handsonllm-hands-on-large-language-models-vs-llmbook-zh-llmbook-zh-github-io.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Hands-On-Large-Language-Models or LLMBook-zh.github.io? Hands-On-Large-Language-Models: Slowing. LLMBook-zh.github.io: 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 Hands-On-Large-Language-Models and LLMBook-zh.github.io? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Hands-On-Large-Language-Models trust report](/tools/handsonllm-hands-on-large-language-models/trust); [LLMBook-zh.github.io trust report](/tools/llmbook-zh-llmbook-zh-github-io/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=handsonllm-hands-on-large-language-models`](/api/graphcanon/graph?tool=handsonllm-hands-on-large-language-models) - 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/_