Comparison
Awesome-Chinese-LLM vs Awesome-AIGC-Tutorials
Verdict
Pick Awesome-Chinese-LLM if awesome-Chinese-LLM is a curated list focusing on smaller, less computationally expensive Chinese language models suitable for private deployment; pick Awesome-AIGC-Tutorials if awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry.
Markdown twin · Awesome-Chinese-LLM alternatives · Awesome-AIGC-Tutorials alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | Awesome-Chinese-LLM | Awesome-AIGC-Tutorials |
|---|---|---|
| Maintenance | Slowing (98d since push) As of 4d · github_public_v1 | Dormant (848d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4d · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- Awesome-Chinese-LLM
- 整理开源的中文大语言模型
- Awesome-AIGC-Tutorials
- Curated tutorials and resources for Large Language Models, AI Painting, and more
Stars
- Awesome-Chinese-LLM
- 23k
- Awesome-AIGC-Tutorials
- 4.5k
Forks
- Awesome-Chinese-LLM
- 2.1k
- Awesome-AIGC-Tutorials
- 303
Open issues
- Awesome-Chinese-LLM
- 27
- Awesome-AIGC-Tutorials
- 10
Language
- Awesome-Chinese-LLM
- -
- Awesome-AIGC-Tutorials
- -
Adopt for
- Awesome-Chinese-LLM
- Awesome-Chinese-LLM is a curated list focusing on smaller, less computationally expensive Chinese language models suitable for private deployment.
- Awesome-AIGC-Tutorials
- Awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry.
Persona
- Awesome-Chinese-LLM
- -
- Awesome-AIGC-Tutorials
- -
Runtime
- Awesome-Chinese-LLM
- -
- Awesome-AIGC-Tutorials
- -
License
- Awesome-Chinese-LLM
- -
- Awesome-AIGC-Tutorials
- MIT license allows for free use in both open-source and proprietary products, with attribution required to the authors.
Last pushed
- Awesome-Chinese-LLM
- May 10, 2026
- Awesome-AIGC-Tutorials
- Mar 31, 2024
Categories
- Awesome-Chinese-LLM
- LLM Frameworks, Model Training
- Awesome-AIGC-Tutorials
- Developer Tools, LLM Frameworks, Model Training
Trust and health
Maintenance
- Awesome-Chinese-LLM
- Slowing (36%)
- Awesome-AIGC-Tutorials
- Dormant (18%)
Days since push
- Awesome-Chinese-LLM
- 98d
- Awesome-AIGC-Tutorials
- 848d
Open issues (now)
- Awesome-Chinese-LLM
- 27
- Awesome-AIGC-Tutorials
- 10
Stars delta
- Awesome-Chinese-LLM
- +53 (30d)
- Awesome-AIGC-Tutorials
- Unknown
Open issues delta
- Awesome-Chinese-LLM
- +3 (30d)
- Awesome-AIGC-Tutorials
- Unknown
Owner type
- Awesome-Chinese-LLM
- User
- Awesome-AIGC-Tutorials
- Organization
Full report
- Awesome-Chinese-LLM
- Trust report
- Awesome-AIGC-Tutorials
- Trust report
Shared compatibility
- ChatGPT · Awesome-Chinese-LLM: Works with ChatGPT · Awesome-AIGC-Tutorials: Works with ChatGPT
- LangChain · Awesome-Chinese-LLM: LangChain integration · Awesome-AIGC-Tutorials: LangChain integration
Choose Awesome-Chinese-LLM if…
- Tags unique to Awesome-Chinese-LLM: awesome-lists, chatglm, chinese, llama.
- If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately.
- More GitHub stars (23k vs 4.5k) - visibility, not fit.
When NOT to use Awesome-Chinese-LLM
- Avoid if your project necessitates large-scale, highly advanced computational capabilities or you are working with languages other than Chinese.
- If your deployment scenario is limited to public cloud services only without the option for private deployment.
Choose Awesome-AIGC-Tutorials if…
- Requirements: No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial..
- Tags unique to Awesome-AIGC-Tutorials: ai, aigc, chatgpt, deep-learning.
- Also covers Developer Tools.
- If you aim to deepen your understanding of prompt engineering for models like MidJourney or Stable Diffusion, this repository offers focused tutorials and resources.
When NOT to use Awesome-AIGC-Tutorials
- Avoid if you are looking for a one-stop-shop coding platform, as Awesome-AIGC-Tutorials provides theoretical knowledge and tutorials rather than practical code samples.
- Not suitable if your focus is solely on the commercial deployment of large language models; this repository does not cover market-specific insights or competitive analysis.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AiHubCN/Awesome-Chinese-LLM) · observed Aug 17, 2026
- GitHub forks (AiHubCN/Awesome-Chinese-LLM) · observed Aug 17, 2026
- Last push (AiHubCN/Awesome-Chinese-LLM) · observed May 10, 2026
- License file (unknown) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (luban-agi/Awesome-AIGC-Tutorials) · observed Jul 28, 2026
- GitHub forks (luban-agi/Awesome-AIGC-Tutorials) · observed Jul 28, 2026
- Last push (luban-agi/Awesome-AIGC-Tutorials) · observed Mar 31, 2024
- License file (MIT) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Awesome-Chinese-LLM 23k · Awesome-AIGC-Tutorials 4.5k (synced Aug 17, 2026).
Common questions
- What is the difference between Awesome-Chinese-LLM and Awesome-AIGC-Tutorials?
- Awesome-Chinese-LLM: 整理开源的中文大语言模型. Awesome-AIGC-Tutorials: Curated tutorials and resources for Large Language Models, AI Painting, and more. See the comparison table for live GitHub stats and shared categories.
- When should I choose Awesome-Chinese-LLM over Awesome-AIGC-Tutorials?
- Choose Awesome-Chinese-LLM over Awesome-AIGC-Tutorials when Tags unique to Awesome-Chinese-LLM: awesome-lists, chatglm, chinese, llama; If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately; More GitHub stars (23k vs 4.5k) - visibility, not fit.
- When should I choose Awesome-AIGC-Tutorials over Awesome-Chinese-LLM?
- Choose Awesome-AIGC-Tutorials over Awesome-Chinese-LLM when Requirements: No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial.; Tags unique to Awesome-AIGC-Tutorials: ai, aigc, chatgpt, deep-learning; Also covers Developer Tools; If you aim to deepen your understanding of prompt engineering for models like MidJourney or Stable Diffusion, this repository offers focused tutorials and resources.
- When should I avoid Awesome-Chinese-LLM?
- Avoid if your project necessitates large-scale, highly advanced computational capabilities or you are working with languages other than Chinese. If your deployment scenario is limited to public cloud services only without the option for private deployment.
- When should I avoid Awesome-AIGC-Tutorials?
- Avoid if you are looking for a one-stop-shop coding platform, as Awesome-AIGC-Tutorials provides theoretical knowledge and tutorials rather than practical code samples. Not suitable if your focus is solely on the commercial deployment of large language models; this repository does not cover market-specific insights or competitive analysis.
- Is Awesome-Chinese-LLM or Awesome-AIGC-Tutorials more popular on GitHub?
- Awesome-Chinese-LLM has more GitHub stars (22,738 vs 4,522). Stars measure visibility, not whether either tool fits your constraints.
- Are Awesome-Chinese-LLM and Awesome-AIGC-Tutorials open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to Awesome-Chinese-LLM or Awesome-AIGC-Tutorials?
- GraphCanon lists graph-backed alternatives at Awesome-Chinese-LLM alternatives and Awesome-AIGC-Tutorials alternatives (Awesome-Chinese-LLM markdown twin, Awesome-AIGC-Tutorials 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, Awesome-Chinese-LLM or Awesome-AIGC-Tutorials?
- Awesome-Chinese-LLM: Slowing. Awesome-AIGC-Tutorials: 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 Awesome-Chinese-LLM and Awesome-AIGC-Tutorials?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Awesome-Chinese-LLM trust report; Awesome-AIGC-Tutorials trust report.