--- title: "Awesome-AIGC-Tutorials vs yao-open-prompts" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/luban-agi-awesome-aigc-tutorials-vs-yaojingang-yao-open-prompts" tools: ["luban-agi-awesome-aigc-tutorials", "yaojingang-yao-open-prompts"] --- # Awesome-AIGC-Tutorials vs yao-open-prompts *GraphCanon updated Jul 28, 2026* ## 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. [Awesome-AIGC-Tutorials](https://github.com/luban-agi/Awesome-AIGC-Tutorials) reports 4.5k GitHub stars, 303 forks, and 10 open issues, last pushed Mar 31, 2024. [yao-open-prompts](https://yaojingang.github.io/yao-open-prompts/) has 2.7k stars, 436 forks, and 0 open issues, last pushed Jun 27, 2026. Figures are from public GitHub metadata via [Awesome-AIGC-Tutorials's repository](https://github.com/luban-agi/Awesome-AIGC-Tutorials) and [yao-open-prompts's repository](https://github.com/yaojingang/yao-open-prompts). | | [Awesome-AIGC-Tutorials](/tools/luban-agi-awesome-aigc-tutorials.md) | [yao-open-prompts](/tools/yaojingang-yao-open-prompts.md) | | --- | --- | --- | | Tagline | Curated tutorials and resources for Large Language Models, AI Painting, and more | Yao Open Prompts | | Stars | 4,522 | 2,672 | | Forks | 303 | 436 | | Open issues | 10 | 0 | | Language | - | Python | | Adopt for | Awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry. | Yao Open Prompts is a Chinese-language AI prompt library designed for various applications including work, learning, content creation, marketing, and daily life. | | Persona | - | - | | Runtime | - | - | | License | MIT license allows for free use in both open-source and proprietary products, with attribution required to the authors. | Other | | Categories | Developer Tools, LLM Frameworks, Model Training | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Awesome-AIGC-Tutorials](/tools/luban-agi-awesome-aigc-tutorials.md) | [yao-open-prompts](/tools/yaojingang-yao-open-prompts.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 848d | 30d | | Open issues (now) | 10 | 0 | | Owner type | Organization | User | | Full report | [trust report](/tools/luban-agi-awesome-aigc-tutorials/trust.md) | [trust report](/tools/yaojingang-yao-open-prompts/trust.md) | ## Shared compatibility - **Python**: [Awesome-AIGC-Tutorials](/tools/luban-agi-awesome-aigc-tutorials.md) - Python runtime; [yao-open-prompts](/tools/yaojingang-yao-open-prompts.md) - Python runtime ## Decision facts: Awesome-AIGC-Tutorials - **Requirements:** No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial. - **Adopt for:** Awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry. - **License detail:** MIT license allows for free use in both open-source and proprietary products, with attribution required to the authors. ## Decision facts: yao-open-prompts - **Adopt for:** Yao Open Prompts is a Chinese-language AI prompt library designed for various applications including work, learning, content creation, marketing, and daily life. ## Choose when ### 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. ### 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 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 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. ## 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](/tools/luban-agi-awesome-aigc-tutorials/alternatives) and [yao-open-prompts alternatives](/tools/yaojingang-yao-open-prompts/alternatives) ([Awesome-AIGC-Tutorials markdown twin](/tools/luban-agi-awesome-aigc-tutorials/alternatives.md), [yao-open-prompts markdown twin](/tools/yaojingang-yao-open-prompts/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/luban-agi-awesome-aigc-tutorials-vs-yaojingang-yao-open-prompts.md) 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](/tools/luban-agi-awesome-aigc-tutorials/trust); [yao-open-prompts trust report](/tools/yaojingang-yao-open-prompts/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=luban-agi-awesome-aigc-tutorials`](/api/graphcanon/graph?tool=luban-agi-awesome-aigc-tutorials) - 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/_