Comparison
Awesome-AIGC-Tutorials vs yao-open-prompts
Verdict
Pick Awesome-AIGC-Tutorials if awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry; pick yao-open-prompts if yao Open Prompts is a Chinese-language AI prompt library designed for various applications including work, learning, content creation, marketing, and daily life.
Markdown twin · Awesome-AIGC-Tutorials alternatives · yao-open-prompts alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | Awesome-AIGC-Tutorials | yao-open-prompts |
|---|---|---|
| Maintenance | Dormant (848d since push) As of 3w · github_public_v1 | Steady (30d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal 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-AIGC-Tutorials
- Curated tutorials and resources for Large Language Models, AI Painting, and more
- yao-open-prompts
- Yao Open Prompts
Stars
- Awesome-AIGC-Tutorials
- 4.5k
- yao-open-prompts
- 2.7k
Forks
- Awesome-AIGC-Tutorials
- 303
- yao-open-prompts
- 436
Open issues
- Awesome-AIGC-Tutorials
- 10
- yao-open-prompts
- 0
Language
- Awesome-AIGC-Tutorials
- -
- yao-open-prompts
- Python
Adopt for
- Awesome-AIGC-Tutorials
- Awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry.
- yao-open-prompts
- Yao Open Prompts is a Chinese-language AI prompt library designed for various applications including work, learning, content creation, marketing, and daily life.
Persona
- Awesome-AIGC-Tutorials
- -
- yao-open-prompts
- -
Runtime
- Awesome-AIGC-Tutorials
- -
- yao-open-prompts
- -
License
- Awesome-AIGC-Tutorials
- MIT license allows for free use in both open-source and proprietary products, with attribution required to the authors.
- yao-open-prompts
- Other
Last pushed
- Awesome-AIGC-Tutorials
- Mar 31, 2024
- yao-open-prompts
- Jun 27, 2026
Categories
- Awesome-AIGC-Tutorials
- Developer Tools, LLM Frameworks, Model Training
- yao-open-prompts
- Developer Tools, Model Training
Trust and health
Maintenance
- Awesome-AIGC-Tutorials
- Dormant (18%)
- yao-open-prompts
- Steady (60%)
Days since push
- Awesome-AIGC-Tutorials
- 848d
- yao-open-prompts
- 30d
Open issues (now)
- Awesome-AIGC-Tutorials
- 10
- yao-open-prompts
- 0
Owner type
- Awesome-AIGC-Tutorials
- Organization
- yao-open-prompts
- User
Full report
- Awesome-AIGC-Tutorials
- Trust report
- yao-open-prompts
- Trust report
Shared compatibility
- Python · Awesome-AIGC-Tutorials: Python runtime · yao-open-prompts: Python runtime
Choose Awesome-AIGC-Tutorials if…
- License: Awesome-AIGC-Tutorials is MIT, yao-open-prompts is Other.
- Requirements: No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial..
- Tags unique to Awesome-AIGC-Tutorials: aigc, chatgpt, deep-learning, llm.
- Also covers LLM Frameworks.
- 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.
Choose yao-open-prompts if…
- License: yao-open-prompts is Other, Awesome-AIGC-Tutorials is MIT.
- Tags unique to yao-open-prompts: chinese-prompts, geo, prompt-engineering, prompts.
- When you are working with Chinese natural language processing tasks that require tailored prompts.
When NOT to use yao-open-prompts
- For projects needing extensive support in languages other than Chinese, as the library focuses strictly on Chinese prompts.
- In scenarios where real-time customization of prompts is critical and the available set does not suffice for your needs.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (yaojingang/yao-open-prompts) · observed Jul 28, 2026
- GitHub forks (yaojingang/yao-open-prompts) · observed Jul 28, 2026
- Last push (yaojingang/yao-open-prompts) · observed Jun 27, 2026
- License file (Other) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Awesome-AIGC-Tutorials 4.5k · yao-open-prompts 2.7k (synced Jul 28, 2026).
Common questions
- What is the difference between Awesome-AIGC-Tutorials and yao-open-prompts?
- Awesome-AIGC-Tutorials: Curated tutorials and resources for Large Language Models, AI Painting, and more. yao-open-prompts: Yao Open Prompts. See the comparison table for live GitHub stats and shared categories.
- When should I choose Awesome-AIGC-Tutorials over yao-open-prompts?
- Choose Awesome-AIGC-Tutorials over yao-open-prompts when License: Awesome-AIGC-Tutorials is MIT, yao-open-prompts is Other; Requirements: No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial.; Tags unique to Awesome-AIGC-Tutorials: aigc, chatgpt, deep-learning, llm; Also covers LLM Frameworks; 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 choose yao-open-prompts over Awesome-AIGC-Tutorials?
- Choose yao-open-prompts over Awesome-AIGC-Tutorials when License: yao-open-prompts is Other, Awesome-AIGC-Tutorials is MIT; Tags unique to yao-open-prompts: chinese-prompts, geo, prompt-engineering, prompts; When you are working with Chinese natural language processing tasks that require tailored prompts.
- 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.
- When should I avoid yao-open-prompts?
- For projects needing extensive support in languages other than Chinese, as the library focuses strictly on Chinese prompts. In scenarios where real-time customization of prompts is critical and the available set does not suffice for your needs.
- Is Awesome-AIGC-Tutorials or yao-open-prompts more popular on GitHub?
- Awesome-AIGC-Tutorials has more GitHub stars (4,522 vs 2,672). Stars measure visibility, not whether either tool fits your constraints.
- Are Awesome-AIGC-Tutorials and yao-open-prompts open source?
- Yes - both are open-source projects on GitHub (Awesome-AIGC-Tutorials: MIT, yao-open-prompts: Other).
- Where can I find alternatives to Awesome-AIGC-Tutorials or yao-open-prompts?
- GraphCanon lists graph-backed alternatives at Awesome-AIGC-Tutorials alternatives and yao-open-prompts alternatives (Awesome-AIGC-Tutorials markdown twin, yao-open-prompts 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-AIGC-Tutorials or yao-open-prompts?
- Awesome-AIGC-Tutorials: Dormant. yao-open-prompts: Steady. 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-AIGC-Tutorials and yao-open-prompts?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Awesome-AIGC-Tutorials trust report; yao-open-prompts trust report.