--- title: "awesome vs yao-open-prompts" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/sindresorhus-awesome-vs-yaojingang-yao-open-prompts" tools: ["sindresorhus-awesome", "yaojingang-yao-open-prompts"] --- # awesome vs yao-open-prompts *GraphCanon updated Jul 12, 2026* ## Verdict Pick awesome when license: awesome is CC0-1.0, yao-open-prompts is Other; pick yao-open-prompts when license: yao-open-prompts is Other, awesome is CC0-1.0. [awesome](https://github.com/sindresorhus/awesome) reports 484k GitHub stars, 36k forks, and 92 open issues, last pushed Jun 30, 2026. [yao-open-prompts](https://yaojingang.github.io/yao-open-prompts/) has 2.6k stars, 425 forks, and 0 open issues, last pushed Jun 27, 2026. Figures are from public GitHub metadata via [awesome's repository](https://github.com/sindresorhus/awesome) and [yao-open-prompts's repository](https://github.com/yaojingang/yao-open-prompts). | | [awesome](/tools/sindresorhus-awesome.md) | [yao-open-prompts](/tools/yaojingang-yao-open-prompts.md) | | --- | --- | --- | | Tagline | 😎 Awesome lists about all kinds of interesting topics | Yao Open Prompts: A Chinese-language AI prompt library for work, learning, content, marketing, and everyday life. | | Stars | 484,026 | 2,610 | | Forks | 35,799 | 425 | | Open issues | 92 | 0 | | Language | - | Python | | Adopt for | A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. | - | | Persona | - | - | | Runtime | - | - | | License | CC0-1.0 | Other | | Categories | Developer Tools | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome](/tools/sindresorhus-awesome.md) | [yao-open-prompts](/tools/yaojingang-yao-open-prompts.md) | | --- | --- | --- | | Days since push | 11d | 14d | | Open issues (now) | 92 | 0 | | Full report | [trust report](/tools/sindresorhus-awesome/trust.md) | [trust report](/tools/yaojingang-yao-open-prompts/trust.md) | ## Decision facts: awesome - **Adopt for:** A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. ## Choose when ### Choose awesome if… - License: awesome is CC0-1.0, yao-open-prompts is Other. - Tags unique to awesome: awesome, awesome-list, lists, resources. - Also covers Developer Tools. - When you need well-organized access to diverse technical subjects from IoT to robotics ### Choose yao-open-prompts if… - License: yao-open-prompts is Other, awesome is CC0-1.0. - Tags unique to yao-open-prompts: ai, chinese-prompts, geo, prompt-engineering. - Also covers LLM Frameworks. ## When NOT to use awesome - If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources - In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ## When NOT to use yao-open-prompts - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between awesome and yao-open-prompts? awesome: 😎 Awesome lists about all kinds of interesting topics. yao-open-prompts: Yao Open Prompts: A Chinese-language AI prompt library for work, learning, content, marketing, and everyday life.. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome over yao-open-prompts? Choose awesome over yao-open-prompts when License: awesome is CC0-1.0, yao-open-prompts is Other; Tags unique to awesome: awesome, awesome-list, lists, resources; Also covers Developer Tools; When you need well-organized access to diverse technical subjects from IoT to robotics. ### When should I choose yao-open-prompts over awesome? Choose yao-open-prompts over awesome when License: yao-open-prompts is Other, awesome is CC0-1.0; Tags unique to yao-open-prompts: ai, chinese-prompts, geo, prompt-engineering; Also covers LLM Frameworks. ### When should I avoid awesome? If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ### When should I avoid yao-open-prompts? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is awesome or yao-open-prompts more popular on GitHub? awesome has more GitHub stars (484,026 vs 2,610). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome and yao-open-prompts open source? Yes - both are open-source projects on GitHub (awesome: CC0-1.0, yao-open-prompts: Other). ### Where can I find alternatives to awesome or yao-open-prompts? GraphCanon lists graph-backed alternatives at [awesome alternatives](/tools/sindresorhus-awesome/alternatives) and [yao-open-prompts alternatives](/tools/yaojingang-yao-open-prompts/alternatives) ([awesome markdown twin](/tools/sindresorhus-awesome/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/sindresorhus-awesome-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 or yao-open-prompts? awesome: Active. yao-open-prompts: Active. 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 and yao-open-prompts? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome trust report](/tools/sindresorhus-awesome/trust); [yao-open-prompts trust report](/tools/yaojingang-yao-open-prompts/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=sindresorhus-awesome`](/api/graphcanon/graph?tool=sindresorhus-awesome) - 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/_