--- title: "wonderful-prompts vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langgptai-wonderful-prompts-vs-sindresorhus-awesome" tools: ["langgptai-wonderful-prompts", "sindresorhus-awesome"] --- # wonderful-prompts vs awesome *GraphCanon updated Jul 12, 2026* ## Verdict Pick wonderful-prompts when license: wonderful-prompts is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, wonderful-prompts is MIT. [wonderful-prompts](https://langgptai.feishu.cn/wiki/RXdbwRyASiShtDky381ciwFEnpe) reports 6.2k GitHub stars, 530 forks, and 1 open issues, last pushed Oct 22, 2025. [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 [wonderful-prompts's repository](https://github.com/langgptai/wonderful-prompts) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [wonderful-prompts](/tools/langgptai-wonderful-prompts.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | 🔥中文 prompt 精选🔥，ChatGPT 使用指南，提升 ChatGPT 可玩性和可用性！🚀 | 😎 Curated list of awesome topics including hardware resources | | Stars | 6,157 | 484,026 | | Forks | 530 | 35,799 | | Open issues | 1 | 92 | | Language | - | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | CC0-1.0 | | Categories | LLM Frameworks | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [wonderful-prompts](/tools/langgptai-wonderful-prompts.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 262d | 11d | | Open issues (now) | 1 | 92 | | Owner type | Organization | User | | Full report | [trust report](/tools/langgptai-wonderful-prompts/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Choose when ### Choose wonderful-prompts if… - License: wonderful-prompts is MIT, awesome is CC0-1.0. - Tags unique to wonderful-prompts: gpt4, gpt35, chatgpt, openai. - Leaner open-issue backlog (1). ### Choose awesome if… - License: awesome is CC0-1.0, wonderful-prompts is MIT. - Tags unique to awesome: resources, awesome-list. - More GitHub stars (484k vs 6.2k) - visibility, not fit. ## When NOT to use wonderful-prompts - Last GitHub push was 263 days ago (slowing maintenance, Oct 22, 2025). Validate activity before betting a new project on wonderful-prompts. - 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 - 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 wonderful-prompts and awesome? wonderful-prompts: 🔥中文 prompt 精选🔥，ChatGPT 使用指南，提升 ChatGPT 可玩性和可用性！🚀. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories. ### When should I choose wonderful-prompts over awesome? Choose wonderful-prompts over awesome when License: wonderful-prompts is MIT, awesome is CC0-1.0; Tags unique to wonderful-prompts: gpt4, gpt35, chatgpt, openai; Leaner open-issue backlog (1). ### When should I choose awesome over wonderful-prompts? Choose awesome over wonderful-prompts when License: awesome is CC0-1.0, wonderful-prompts is MIT; Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 6.2k) - visibility, not fit. ### When should I avoid wonderful-prompts? Last GitHub push was 263 days ago (slowing maintenance, Oct 22, 2025). Validate activity before betting a new project on wonderful-prompts. 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? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is wonderful-prompts or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 6,157). Stars measure visibility, not whether either tool fits your constraints. ### Are wonderful-prompts and awesome open source? Yes - both are open-source projects on GitHub (wonderful-prompts: MIT, awesome: CC0-1.0). ### Where can I find alternatives to wonderful-prompts or awesome? GraphCanon lists graph-backed alternatives at [wonderful-prompts alternatives](/tools/langgptai-wonderful-prompts/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([wonderful-prompts markdown twin](/tools/langgptai-wonderful-prompts/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/langgptai-wonderful-prompts-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, wonderful-prompts or awesome? wonderful-prompts: Slowing. 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 wonderful-prompts and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [wonderful-prompts trust report](/tools/langgptai-wonderful-prompts/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langgptai-wonderful-prompts`](/api/graphcanon/graph?tool=langgptai-wonderful-prompts) - 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/_