Comparison
happy-llm vs llm-cookbook
Verdict
Pick happy-llm if happy-LLM is a comprehensive tutorial for learning about large language models, focusing on NLP basics, Transformer architecture, and practical implementation of LLaMA2; 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.
Markdown twin · happy-llm alternatives · llm-cookbook alternatives
GraphCanon updated Sep 20, 2026
16views this month
Trust & integrity
| Signal | happy-llm | llm-cookbook |
|---|---|---|
| Maintenance | Steady (40d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (430d since push) As of Aug 16, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 16, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- happy-llm
- 从零开始构建大模型
- 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
Stars
- happy-llm
- 34k
- llm-cookbook
- 25k
Forks
- happy-llm
- 3.2k
- llm-cookbook
- 3.0k
Open issues
- happy-llm
- 70
- llm-cookbook
- 10
Language
- happy-llm
- Jupyter Notebook
- llm-cookbook
- Jupyter Notebook
Adopt for
- happy-llm
- Happy-LLM is a comprehensive tutorial for learning about large language models, focusing on NLP basics, Transformer architecture, and practical implementation of LLaMA2.
- llm-cookbook
- 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.
Persona
- happy-llm
- -
- llm-cookbook
- -
Runtime
- happy-llm
- -
- llm-cookbook
- -
License
- happy-llm
- The license is not specified as open source, but the content is free to use and learn from.
- llm-cookbook
- -
Last pushed
- happy-llm
- Aug 8, 2026
- llm-cookbook
- Jun 12, 2025
Categories
- happy-llm
- Developer Tools, LLM Frameworks, Model Training
- llm-cookbook
- Developer Tools, LLM Frameworks
Trust and health
Maintenance
- happy-llm
- Steady (60%)
- llm-cookbook
- Dormant (18%)
Days since push
- happy-llm
- 40d
- llm-cookbook
- 430d
Open issues (now)
- happy-llm
- 70
- llm-cookbook
- 10
Stars delta
- happy-llm
- +902 (30d)
- llm-cookbook
- +123 (30d)
Open issues delta
- happy-llm
- +6 (30d)
- llm-cookbook
- +1 (30d)
Full report
- happy-llm
- Trust report
- llm-cookbook
- Trust report
Typed relationship
Choose happy-llm if…
- Requirements: Min 8 GB RAM; Hardware recommendations and setup instructions are provided in the '学习与环境准备' section..
- Happy-LLM and llm-cookbook both serve as guides for developers to understand and work with large language models.
- Tags unique to happy-llm: agent, rag.
- Also covers Model Training.
- When you need a detailed guide to understand the principles and training process of large language models, especially if you are interested in hands-on implementation of LLaMA2.
When NOT to use happy-llm
- If you are seeking a tool for immediate deployment of large language models without the need for understanding the underlying principles.
- When you require a resource that focuses solely on the latest research papers and cutting-edge algorithms without a systematic learning path.
- If you prefer English-language resources, as the primary content is in Chinese, although an English version is available.
Choose llm-cookbook if…
- Happy-LLM and llm-cookbook both serve as guides for developers to understand and work with large language models.
- Tags unique to llm-cookbook: cookbook.
- - You prefer learning in Chinese or have a better grasp when content is available in Chinese.
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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (datawhalechina/happy-llm) · observed Sep 20, 2026
- GitHub forks (datawhalechina/happy-llm) · observed Sep 20, 2026
- Last push (datawhalechina/happy-llm) · observed Aug 8, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (datawhalechina/llm-cookbook) · observed Sep 20, 2026
- GitHub forks (datawhalechina/llm-cookbook) · observed Sep 20, 2026
- Last push (datawhalechina/llm-cookbook) · observed Jun 12, 2025
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: happy-llm 34k · llm-cookbook 25k (synced Sep 20, 2026).
Common questions
- What is the difference between happy-llm and llm-cookbook?
- happy-llm: 从零开始构建大模型. 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. See the comparison table for live GitHub stats and shared categories.
- When should I choose happy-llm over llm-cookbook?
- Choose happy-llm over llm-cookbook when Requirements: Min 8 GB RAM; Hardware recommendations and setup instructions are provided in the '学习与环境准备' section.; Happy-LLM and llm-cookbook both serve as guides for developers to understand and work with large language models; Tags unique to happy-llm: agent, rag; Also covers Model Training; When you need a detailed guide to understand the principles and training process of large language models, especially if you are interested in hands-on implementation of LLaMA2.
- When should I choose llm-cookbook over happy-llm?
- Choose llm-cookbook over happy-llm when Happy-LLM and llm-cookbook both serve as guides for developers to understand and work with large language models; Tags unique to llm-cookbook: cookbook; - You prefer learning in Chinese or have a better grasp when content is available in Chinese.
- When should I avoid happy-llm?
- If you are seeking a tool for immediate deployment of large language models without the need for understanding the underlying principles. When you require a resource that focuses solely on the latest research papers and cutting-edge algorithms without a systematic learning path. If you prefer English-language resources, as the primary content is in Chinese, although an English version is available.
- 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
- Is happy-llm or llm-cookbook more popular on GitHub?
- happy-llm has more GitHub stars (33,889 vs 24,544). Stars measure visibility, not whether either tool fits your constraints.
- Are happy-llm and llm-cookbook open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to happy-llm or llm-cookbook?
- GraphCanon lists graph-backed alternatives at happy-llm alternatives and llm-cookbook alternatives (happy-llm markdown twin, llm-cookbook 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, happy-llm or llm-cookbook?
- happy-llm: Steady. llm-cookbook: 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 happy-llm and llm-cookbook?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: happy-llm trust report; llm-cookbook trust report.