--- title: "chatgpt_system_prompt vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/louisshark-chatgpt-system-prompt-vs-sindresorhus-awesome" tools: ["louisshark-chatgpt-system-prompt", "sindresorhus-awesome"] --- # chatgpt_system_prompt vs awesome *GraphCanon updated Jul 12, 2026* ## Verdict Pick chatgpt_system_prompt when license: chatgpt_system_prompt is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, chatgpt_system_prompt is MIT. [chatgpt_system_prompt](https://github.com/LouisShark/chatgpt_system_prompt) reports 11k GitHub stars, 1.5k forks, and 1 open issues, last pushed Jul 7, 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_system_prompt's repository](https://github.com/LouisShark/chatgpt_system_prompt) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [chatgpt_system_prompt](/tools/louisshark-chatgpt-system-prompt.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | A collection of GPT system prompts and various prompt injection/leaking knowledge. | 😎 Curated list of awesome topics including hardware resources | | Stars | 10,669 | 484,026 | | Forks | 1,467 | 35,799 | | Open issues | 1 | 92 | | Language | HTML | - | | 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._ | | [chatgpt_system_prompt](/tools/louisshark-chatgpt-system-prompt.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 4d | 11d | | Open issues (now) | 1 | 92 | | Full report | [trust report](/tools/louisshark-chatgpt-system-prompt/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Choose when ### Choose chatgpt_system_prompt if… - License: chatgpt_system_prompt is MIT, awesome is CC0-1.0. - Tags unique to chatgpt_system_prompt: html, gpt, prompt, prompt-engineering. - More recently updated (last pushed Jul 7, 2026). ### Choose awesome if… - License: awesome is CC0-1.0, chatgpt_system_prompt is MIT. - Tags unique to awesome: resources, awesome-list. - More GitHub stars (484k vs 11k) - visibility, not fit. ## When NOT to use chatgpt_system_prompt - 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 chatgpt_system_prompt and awesome? chatgpt_system_prompt: A collection of GPT system prompts and various prompt injection/leaking knowledge.. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories. ### When should I choose chatgpt_system_prompt over awesome? Choose chatgpt_system_prompt over awesome when License: chatgpt_system_prompt is MIT, awesome is CC0-1.0; Tags unique to chatgpt_system_prompt: html, gpt, prompt, prompt-engineering; More recently updated (last pushed Jul 7, 2026). ### When should I choose awesome over chatgpt_system_prompt? Choose awesome over chatgpt_system_prompt when License: awesome is CC0-1.0, chatgpt_system_prompt is MIT; Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 11k) - visibility, not fit. ### When should I avoid chatgpt_system_prompt? 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 chatgpt_system_prompt or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 10,669). Stars measure visibility, not whether either tool fits your constraints. ### Are chatgpt_system_prompt and awesome open source? Yes - both are open-source projects on GitHub (chatgpt_system_prompt: MIT, awesome: CC0-1.0). ### Where can I find alternatives to chatgpt_system_prompt or awesome? GraphCanon lists graph-backed alternatives at [chatgpt_system_prompt alternatives](/tools/louisshark-chatgpt-system-prompt/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([chatgpt_system_prompt markdown twin](/tools/louisshark-chatgpt-system-prompt/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/louisshark-chatgpt-system-prompt-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_system_prompt or awesome? chatgpt_system_prompt: 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_system_prompt and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [chatgpt_system_prompt trust report](/tools/louisshark-chatgpt-system-prompt/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=louisshark-chatgpt-system-prompt`](/api/graphcanon/graph?tool=louisshark-chatgpt-system-prompt) - 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/_