--- title: "Awesome-Prompt-Engineering vs yao-open-prompts" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/promptslab-awesome-prompt-engineering-vs-yaojingang-yao-open-prompts" tools: ["promptslab-awesome-prompt-engineering", "yaojingang-yao-open-prompts"] --- # Awesome-Prompt-Engineering vs yao-open-prompts *GraphCanon updated Jul 28, 2026* ## Verdict Pick Awesome-Prompt-Engineering if awesome-Prompt-Engineering curates resources tailored for GPT, ChatGPT, PaLM prompt engineering in TypeScript under Apache-2.0 license; 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-Prompt-Engineering](https://discord.gg/m88xfYMbK6) reports 6.2k GitHub stars, 734 forks, and 94 open issues, last pushed Jul 27, 2026. [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-Prompt-Engineering's repository](https://github.com/promptslab/Awesome-Prompt-Engineering) and [yao-open-prompts's repository](https://github.com/yaojingang/yao-open-prompts). | | [Awesome-Prompt-Engineering](/tools/promptslab-awesome-prompt-engineering.md) | [yao-open-prompts](/tools/yaojingang-yao-open-prompts.md) | | --- | --- | --- | | Tagline | Hand-curated resources for Prompt Engineering focusing on Generative Pre-trained Transformers | Yao Open Prompts | | Stars | 6,197 | 2,672 | | Forks | 734 | 436 | | Open issues | 94 | 0 | | Language | TypeScript | Python | | Adopt for | Awesome-Prompt-Engineering curates resources tailored for GPT, ChatGPT, PaLM prompt engineering in TypeScript under Apache-2.0 license. | 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 | Apache-2.0 | Other | | Categories | Developer Tools, Model Training | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Awesome-Prompt-Engineering](/tools/promptslab-awesome-prompt-engineering.md) | [yao-open-prompts](/tools/yaojingang-yao-open-prompts.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 30d | | Open issues (now) | 94 | 0 | | Owner type | Organization | User | | Full report | [trust report](/tools/promptslab-awesome-prompt-engineering/trust.md) | [trust report](/tools/yaojingang-yao-open-prompts/trust.md) | ## Shared compatibility - **Python**: [Awesome-Prompt-Engineering](/tools/promptslab-awesome-prompt-engineering.md) - Python runtime; [yao-open-prompts](/tools/yaojingang-yao-open-prompts.md) - Python runtime ## Decision facts: Awesome-Prompt-Engineering - **Adopt for:** Awesome-Prompt-Engineering curates resources tailored for GPT, ChatGPT, PaLM prompt engineering in TypeScript under Apache-2.0 license. ## 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-Prompt-Engineering if… - Awesome-Prompt-Engineering is primarily TypeScript; yao-open-prompts is Python. - License: Awesome-Prompt-Engineering is Apache-2.0, yao-open-prompts is Other. - Tags unique to Awesome-Prompt-Engineering: chatgpt, deep-learning, few-shot-learning, gpt. - You need focused materials on GPT and related models for prompt engineering ### Choose yao-open-prompts if… - yao-open-prompts is primarily Python; Awesome-Prompt-Engineering is TypeScript. - License: yao-open-prompts is Other, Awesome-Prompt-Engineering is Apache-2.0. - Tags unique to yao-open-prompts: ai, chinese-prompts, geo, prompts. - When you are working with Chinese natural language processing tasks that require tailored prompts. ## When NOT to use Awesome-Prompt-Engineering - The project requires languages other than TypeScript - Resource is about areas outside of GPT, ChatGPT, PaLM prompt engineering ## 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-Prompt-Engineering and yao-open-prompts? Awesome-Prompt-Engineering: Hand-curated resources for Prompt Engineering focusing on Generative Pre-trained Transformers. yao-open-prompts: Yao Open Prompts. See the comparison table for live GitHub stats and shared categories. ### When should I choose Awesome-Prompt-Engineering over yao-open-prompts? Choose Awesome-Prompt-Engineering over yao-open-prompts when Awesome-Prompt-Engineering is primarily TypeScript; yao-open-prompts is Python; License: Awesome-Prompt-Engineering is Apache-2.0, yao-open-prompts is Other; Tags unique to Awesome-Prompt-Engineering: chatgpt, deep-learning, few-shot-learning, gpt; You need focused materials on GPT and related models for prompt engineering. ### When should I choose yao-open-prompts over Awesome-Prompt-Engineering? Choose yao-open-prompts over Awesome-Prompt-Engineering when yao-open-prompts is primarily Python; Awesome-Prompt-Engineering is TypeScript; License: yao-open-prompts is Other, Awesome-Prompt-Engineering is Apache-2.0; Tags unique to yao-open-prompts: ai, chinese-prompts, geo, prompts; When you are working with Chinese natural language processing tasks that require tailored prompts. ### When should I avoid Awesome-Prompt-Engineering? The project requires languages other than TypeScript Resource is about areas outside of GPT, ChatGPT, PaLM prompt engineering ### 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-Prompt-Engineering or yao-open-prompts more popular on GitHub? Awesome-Prompt-Engineering has more GitHub stars (6,197 vs 2,672). Stars measure visibility, not whether either tool fits your constraints. ### Are Awesome-Prompt-Engineering and yao-open-prompts open source? Yes - both are open-source projects on GitHub (Awesome-Prompt-Engineering: Apache-2.0, yao-open-prompts: Other). ### Where can I find alternatives to Awesome-Prompt-Engineering or yao-open-prompts? GraphCanon lists graph-backed alternatives at [Awesome-Prompt-Engineering alternatives](/tools/promptslab-awesome-prompt-engineering/alternatives) and [yao-open-prompts alternatives](/tools/yaojingang-yao-open-prompts/alternatives) ([Awesome-Prompt-Engineering markdown twin](/tools/promptslab-awesome-prompt-engineering/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/promptslab-awesome-prompt-engineering-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-Prompt-Engineering or yao-open-prompts? Awesome-Prompt-Engineering: Very active. 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-Prompt-Engineering and yao-open-prompts? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Awesome-Prompt-Engineering trust report](/tools/promptslab-awesome-prompt-engineering/trust); [yao-open-prompts trust report](/tools/yaojingang-yao-open-prompts/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=promptslab-awesome-prompt-engineering`](/api/graphcanon/graph?tool=promptslab-awesome-prompt-engineering) - 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/_