--- title: "llm-cookbook vs Hands-On-Large-Language-Models" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/datawhalechina-llm-cookbook-vs-handsonllm-hands-on-large-language-models" tools: ["datawhalechina-llm-cookbook", "handsonllm-hands-on-large-language-models"] --- # llm-cookbook vs Hands-On-Large-Language-Models *GraphCanon updated Aug 16, 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 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. [llm-cookbook](https://datawhalechina.github.io/llm-cookbook/) reports 25k GitHub stars, 3.0k forks, and 10 open issues, last pushed Jun 12, 2025. [Hands-On-Large-Language-Models](https://www.llm-book.com/) has 28k stars, 6.5k forks, and 38 open issues, last pushed Apr 24, 2026. Figures are from public GitHub metadata via [llm-cookbook's repository](https://github.com/datawhalechina/llm-cookbook) and [Hands-On-Large-Language-Models's repository](https://github.com/HandsOnLLM/Hands-On-Large-Language-Models). | | [llm-cookbook](/tools/datawhalechina-llm-cookbook.md) | [Hands-On-Large-Language-Models](/tools/handsonllm-hands-on-large-language-models.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 | Official code repo for the O'Reilly Book - 'Hands-On Large Language Models' | | Stars | 24,544 | 28,252 | | Forks | 2,953 | 6,531 | | Open issues | 10 | 38 | | Language | Jupyter Notebook | Jupyter Notebook | | 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. | 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. | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 License | | Categories | Developer Tools, LLM Frameworks | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [llm-cookbook](/tools/datawhalechina-llm-cookbook.md) | [Hands-On-Large-Language-Models](/tools/handsonllm-hands-on-large-language-models.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 430d | 114d | | Open issues (now) | 10 | 38 | | Stars delta | +123 (30d) | +642 (30d) | | Open issues delta | +1 (30d) | 0 (30d) | | Full report | [trust report](/tools/datawhalechina-llm-cookbook/trust.md) | [trust report](/tools/handsonllm-hands-on-large-language-models/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: 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 ## Choose when ### Choose llm-cookbook if… - Tags unique to llm-cookbook: cookbook. - Also covers Developer Tools. - - You prefer learning in Chinese or have a better grasp when content is available in Chinese. ### Choose Hands-On-Large-Language-Models if… - 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: artificial-intelligence, book, large language models, llms. - Also covers Model Training. - - You are focusing on practical implementation aspects detailed in a structured format as outlined by O'Reilly's authoritative book. ## 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 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. ## Common questions ### What is the difference between llm-cookbook and Hands-On-Large-Language-Models? 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. Hands-On-Large-Language-Models: Official code repo for the O'Reilly Book - 'Hands-On Large Language Models'. See the comparison table for live GitHub stats and shared categories. ### When should I choose llm-cookbook over Hands-On-Large-Language-Models? Choose llm-cookbook over Hands-On-Large-Language-Models when Tags unique to llm-cookbook: cookbook; Also covers Developer Tools; - You prefer learning in Chinese or have a better grasp when content is available in Chinese. ### When should I choose Hands-On-Large-Language-Models over llm-cookbook? Choose Hands-On-Large-Language-Models over llm-cookbook when 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: artificial-intelligence, book, large language models, llms; Also covers Model Training; - You are focusing on practical implementation aspects detailed in a structured format as outlined by O'Reilly's authoritative book. ### 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 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. ### Is llm-cookbook or Hands-On-Large-Language-Models more popular on GitHub? Hands-On-Large-Language-Models has more GitHub stars (28,252 vs 24,544). Stars measure visibility, not whether either tool fits your constraints. ### Are llm-cookbook and Hands-On-Large-Language-Models open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to llm-cookbook or Hands-On-Large-Language-Models? GraphCanon lists graph-backed alternatives at [llm-cookbook alternatives](/tools/datawhalechina-llm-cookbook/alternatives) and [Hands-On-Large-Language-Models alternatives](/tools/handsonllm-hands-on-large-language-models/alternatives) ([llm-cookbook markdown twin](/tools/datawhalechina-llm-cookbook/alternatives.md), [Hands-On-Large-Language-Models markdown twin](/tools/handsonllm-hands-on-large-language-models/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-handsonllm-hands-on-large-language-models.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, llm-cookbook or Hands-On-Large-Language-Models? llm-cookbook: Dormant. Hands-On-Large-Language-Models: 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 Hands-On-Large-Language-Models? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llm-cookbook trust report](/tools/datawhalechina-llm-cookbook/trust); [Hands-On-Large-Language-Models trust report](/tools/handsonllm-hands-on-large-language-models/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/_