Home/Compare/happy-llm vs llm-cookbook

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

happy-llm logo

happy-llm

datawhalechina/happy-llm

★ 34kpushed Aug 8, 2026
vs
llm-cookbook logo

llm-cookbook

datawhalechina/llm-cookbook

★ 25kpushed Jun 12, 2025

Trust & integrity

Signalhappy-llmllm-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

happy-llm alternative llm-cookbookHappy-LLM and llm-cookbook both serve as guides for developers to understand and work with large language models.

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 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.

Was this helpful?

Anonymous feedback helps us improve pages and translations.