--- title: "awesome-gpt vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/formulahendry-awesome-gpt-vs-sindresorhus-awesome" tools: ["formulahendry-awesome-gpt", "sindresorhus-awesome"] --- # awesome-gpt vs awesome *GraphCanon updated Jul 12, 2026* ## Verdict Pick awesome-gpt when pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs.; pick awesome when tags unique to awesome: awesome-list, resources. [awesome-gpt](https://github.com/formulahendry/awesome-gpt) reports 1.0k GitHub stars, 76 forks, and 27 open issues, last pushed May 29, 2024. [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 [awesome-gpt's repository](https://github.com/formulahendry/awesome-gpt) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | Curated list of GPT and related resources | 😎 Curated list of awesome topics including hardware resources | | Stars | 1,044 | 484,026 | | Forks | 76 | 35,799 | | Open issues | 27 | 92 | | Language | - | - | | Adopt for | awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications. | - | | Persona | - | - | | Runtime | - | - | | License | - | CC0-1.0 | | Categories | Developer Tools, LLM Frameworks | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 773d | 11d | | Open issues (now) | 27 | 92 | | Full report | [trust report](/tools/formulahendry-awesome-gpt/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Decision facts: awesome-gpt - **Pricing:** unknown - Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs. - **Requirements:** Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view - **Adopt for:** awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications. ## Choose when ### Choose awesome-gpt if… - Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs.. - Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view. - Tags unique to awesome-gpt: chatgpt, gpt, llm, openai. - Also covers Developer Tools. - Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools. ### Choose awesome if… - Tags unique to awesome: awesome-list, resources. - More GitHub stars (484k vs 1.0k) - visibility, not fit. ## When NOT to use awesome-gpt - Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider. - Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation. ## 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 awesome-gpt and awesome? awesome-gpt: Curated list of GPT and related resources. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-gpt over awesome? Choose awesome-gpt over awesome when Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs.; Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view; Tags unique to awesome-gpt: chatgpt, gpt, llm, openai; Also covers Developer Tools; Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools. ### When should I choose awesome over awesome-gpt? Choose awesome over awesome-gpt when Tags unique to awesome: awesome-list, resources; More GitHub stars (484k vs 1.0k) - visibility, not fit. ### When should I avoid awesome-gpt? Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider. Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation. ### 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 awesome-gpt or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 1,044). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-gpt and awesome open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-gpt or awesome? GraphCanon lists graph-backed alternatives at [awesome-gpt alternatives](/tools/formulahendry-awesome-gpt/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([awesome-gpt markdown twin](/tools/formulahendry-awesome-gpt/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/formulahendry-awesome-gpt-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-gpt or awesome? awesome-gpt: Dormant. 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 awesome-gpt and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-gpt trust report](/tools/formulahendry-awesome-gpt/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=formulahendry-awesome-gpt`](/api/graphcanon/graph?tool=formulahendry-awesome-gpt) - 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/_