--- title: "ChatGPT-Shortcut vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/rockbenben-chatgpt-shortcut-vs-sindresorhus-awesome" tools: ["rockbenben-chatgpt-shortcut", "sindresorhus-awesome"] --- # ChatGPT-Shortcut vs awesome *GraphCanon updated Jul 12, 2026* ## Verdict Pick ChatGPT-Shortcut when license: ChatGPT-Shortcut is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, ChatGPT-Shortcut is MIT. [ChatGPT-Shortcut](https://www.aishort.top/en) reports 8.6k GitHub stars, 945 forks, and 0 open issues, last pushed Jul 10, 2026. [awesome](https://github.com/sindresorhus/awesome) has 484k stars, 36k forks, and 92 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [ChatGPT-Shortcut's repository](https://github.com/rockbenben/ChatGPT-Shortcut) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [ChatGPT-Shortcut](/tools/rockbenben-chatgpt-shortcut.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | 🚀💪Maximize your efficiency and productivity. The ultimate hub to manage, customize, and share prompts. (English/中文/Español/العربية). 让生产力加倍的 AI 快捷指令。更高效地管理提示词，在分享社区中发现适用于不同场景的灵感。 | 😎 Awesome lists about all kinds of interesting topics | | Stars | 8,607 | 484,026 | | Forks | 945 | 35,799 | | Open issues | 0 | 92 | | Language | TypeScript | - | | Adopt for | - | A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. | | Persona | - | - | | Runtime | - | - | | License | MIT | CC0-1.0 | | Categories | LLM Frameworks | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ChatGPT-Shortcut](/tools/rockbenben-chatgpt-shortcut.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 1d | 11d | | Open issues (now) | 0 | 92 | | Full report | [trust report](/tools/rockbenben-chatgpt-shortcut/trust.md) | [trust report](/tools/sindresorhus-awesome/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 ChatGPT-Shortcut if… - License: ChatGPT-Shortcut is MIT, awesome is CC0-1.0. - Tags unique to ChatGPT-Shortcut: ai, ai-tools, aigc, chatgpt. - Also covers LLM Frameworks. ### Choose awesome if… - License: awesome is CC0-1.0, ChatGPT-Shortcut is MIT. - 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 NOT to use ChatGPT-Shortcut - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## 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 ## Common questions ### What is the difference between ChatGPT-Shortcut and awesome? ChatGPT-Shortcut: 🚀💪Maximize your efficiency and productivity. The ultimate hub to manage, customize, and share prompts. (English/中文/Español/العربية). 让生产力加倍的 AI 快捷指令。更高效地管理提示词，在分享社区中发现适用于不同场景的灵感。. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories. ### When should I choose ChatGPT-Shortcut over awesome? Choose ChatGPT-Shortcut over awesome when License: ChatGPT-Shortcut is MIT, awesome is CC0-1.0; Tags unique to ChatGPT-Shortcut: ai, ai-tools, aigc, chatgpt; Also covers LLM Frameworks. ### When should I choose awesome over ChatGPT-Shortcut? Choose awesome over ChatGPT-Shortcut when License: awesome is CC0-1.0, ChatGPT-Shortcut is MIT; 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 avoid ChatGPT-Shortcut? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### 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 ### Is ChatGPT-Shortcut or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 8,607). Stars measure visibility, not whether either tool fits your constraints. ### Are ChatGPT-Shortcut and awesome open source? Yes - both are open-source projects on GitHub (ChatGPT-Shortcut: MIT, awesome: CC0-1.0). ### Where can I find alternatives to ChatGPT-Shortcut or awesome? GraphCanon lists graph-backed alternatives at [ChatGPT-Shortcut alternatives](/tools/rockbenben-chatgpt-shortcut/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([ChatGPT-Shortcut markdown twin](/tools/rockbenben-chatgpt-shortcut/alternatives.md), [awesome markdown twin](/tools/sindresorhus-awesome/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/rockbenben-chatgpt-shortcut-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ChatGPT-Shortcut or awesome? ChatGPT-Shortcut: Very active. awesome: 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 ChatGPT-Shortcut and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ChatGPT-Shortcut trust report](/tools/rockbenben-chatgpt-shortcut/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=rockbenben-chatgpt-shortcut`](/api/graphcanon/graph?tool=rockbenben-chatgpt-shortcut) - 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/_