--- title: "awesome-gpt vs yao-open-prompts" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/formulahendry-awesome-gpt-vs-yaojingang-yao-open-prompts" tools: ["formulahendry-awesome-gpt", "yaojingang-yao-open-prompts"] --- # awesome-gpt vs yao-open-prompts *GraphCanon updated Aug 6, 2026* ## Verdict Pick awesome-gpt if awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications; 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-gpt](https://github.com/formulahendry/awesome-gpt) reports 1.0k GitHub stars, 75 forks, and 27 open issues, last pushed May 29, 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-gpt's repository](https://github.com/formulahendry/awesome-gpt) and [yao-open-prompts's repository](https://github.com/yaojingang/yao-open-prompts). | | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) | [yao-open-prompts](/tools/yaojingang-yao-open-prompts.md) | | --- | --- | --- | | Tagline | Curated list of GPT and related resources | Yao Open Prompts | | Stars | 1,043 | 2,672 | | Forks | 75 | 436 | | Open issues | 27 | 0 | | Language | - | Python | | Adopt for | awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications. | 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 | - | Other | | Categories | Developer Tools, LLM Frameworks | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) | [yao-open-prompts](/tools/yaojingang-yao-open-prompts.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 799d | 30d | | Open issues (now) | 27 | 0 | | Full report | [trust report](/tools/formulahendry-awesome-gpt/trust.md) | [trust report](/tools/yaojingang-yao-open-prompts/trust.md) | ## Decision facts: awesome-gpt - **Pricing:** unknown - Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs. - **Requirements:** Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view - **Adopt for:** awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications. ## 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-gpt if… - Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs.. - Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view. - Tags unique to awesome-gpt: chatgpt, gpt, llm, openai. - Also covers LLM Frameworks. - Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools. ### Choose yao-open-prompts if… - Tags unique to yao-open-prompts: ai, chinese-prompts, geo, prompt-engineering. - Also covers Model Training. - When you are working with Chinese natural language processing tasks that require tailored prompts. ## When NOT to use awesome-gpt - Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider. - Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation. ## 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-gpt and yao-open-prompts? awesome-gpt: Curated list of GPT and related resources. yao-open-prompts: Yao Open Prompts. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-gpt over yao-open-prompts? Choose awesome-gpt over yao-open-prompts when Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs.; Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view; Tags unique to awesome-gpt: chatgpt, gpt, llm, openai; Also covers LLM Frameworks; Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools. ### When should I choose yao-open-prompts over awesome-gpt? Choose yao-open-prompts over awesome-gpt when Tags unique to yao-open-prompts: ai, chinese-prompts, geo, prompt-engineering; Also covers Model Training; When you are working with Chinese natural language processing tasks that require tailored prompts. ### When should I avoid awesome-gpt? Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider. Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation. ### 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-gpt or yao-open-prompts more popular on GitHub? yao-open-prompts has more GitHub stars (2,672 vs 1,043). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-gpt and yao-open-prompts open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-gpt or yao-open-prompts? GraphCanon lists graph-backed alternatives at [awesome-gpt alternatives](/tools/formulahendry-awesome-gpt/alternatives) and [yao-open-prompts alternatives](/tools/yaojingang-yao-open-prompts/alternatives) ([awesome-gpt markdown twin](/tools/formulahendry-awesome-gpt/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/formulahendry-awesome-gpt-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-gpt or yao-open-prompts? awesome-gpt: 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-gpt and yao-open-prompts? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-gpt trust report](/tools/formulahendry-awesome-gpt/trust); [yao-open-prompts trust report](/tools/yaojingang-yao-open-prompts/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=formulahendry-awesome-gpt`](/api/graphcanon/graph?tool=formulahendry-awesome-gpt) - 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/_