--- title: "CL4R1T4S vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/elder-plinius-cl4r1t4s-vs-sindresorhus-awesome" tools: ["elder-plinius-cl4r1t4s", "sindresorhus-awesome"] --- # CL4R1T4S vs awesome *GraphCanon updated Jul 12, 2026* ## Verdict Pick CL4R1T4S when license: CL4R1T4S is AGPL-3.0, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, CL4R1T4S is AGPL-3.0. [CL4R1T4S](https://github.com/elder-plinius/CL4R1T4S) reports 45k GitHub stars, 9.2k forks, and 118 open issues, last pushed Jun 15, 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 [CL4R1T4S's repository](https://github.com/elder-plinius/CL4R1T4S) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [CL4R1T4S](/tools/elder-plinius-cl4r1t4s.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | LEAKED SYSTEM PROMPTS FOR CHATGPT, CLAUDE, GEMINI, GROK, PERPLEXITY, CURSOR, LOVABLE, REPLIT, AND MORE! - AI SYSTEMS TRANSPARENCY FOR ALL! 👐 | 😎 Awesome lists about all kinds of interesting topics | | Stars | 45,233 | 484,026 | | Forks | 9,202 | 35,799 | | Open issues | 118 | 92 | | Language | - | - | | Adopt for | - | A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | CC0-1.0 | | Categories | AI Agents, LLM Frameworks | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [CL4R1T4S](/tools/elder-plinius-cl4r1t4s.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Days since push | 26d | 11d | | Open issues (now) | 118 | 92 | | Full report | [trust report](/tools/elder-plinius-cl4r1t4s/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 CL4R1T4S if… - License: CL4R1T4S is AGPL-3.0, awesome is CC0-1.0. - Tags unique to CL4R1T4S: agents, ai, chatgpt, gemini. - Also covers AI Agents, LLM Frameworks. ### Choose awesome if… - License: awesome is CC0-1.0, CL4R1T4S is AGPL-3.0. - 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 CL4R1T4S - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - 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 CL4R1T4S and awesome? CL4R1T4S: LEAKED SYSTEM PROMPTS FOR CHATGPT, CLAUDE, GEMINI, GROK, PERPLEXITY, CURSOR, LOVABLE, REPLIT, AND MORE! - AI SYSTEMS TRANSPARENCY FOR ALL! 👐. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories. ### When should I choose CL4R1T4S over awesome? Choose CL4R1T4S over awesome when License: CL4R1T4S is AGPL-3.0, awesome is CC0-1.0; Tags unique to CL4R1T4S: agents, ai, chatgpt, gemini; Also covers AI Agents, LLM Frameworks. ### When should I choose awesome over CL4R1T4S? Choose awesome over CL4R1T4S when License: awesome is CC0-1.0, CL4R1T4S is AGPL-3.0; 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 CL4R1T4S? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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 CL4R1T4S or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 45,233). Stars measure visibility, not whether either tool fits your constraints. ### Are CL4R1T4S and awesome open source? Yes - both are open-source projects on GitHub (CL4R1T4S: AGPL-3.0, awesome: CC0-1.0). ### Where can I find alternatives to CL4R1T4S or awesome? GraphCanon lists graph-backed alternatives at [CL4R1T4S alternatives](/tools/elder-plinius-cl4r1t4s/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([CL4R1T4S markdown twin](/tools/elder-plinius-cl4r1t4s/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/elder-plinius-cl4r1t4s-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, CL4R1T4S or awesome? CL4R1T4S: 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 CL4R1T4S and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [CL4R1T4S trust report](/tools/elder-plinius-cl4r1t4s/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=elder-plinius-cl4r1t4s`](/api/graphcanon/graph?tool=elder-plinius-cl4r1t4s) - 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/_