--- title: "RGB vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chen700564-rgb-vs-sindresorhus-awesome" tools: ["chen700564-rgb", "sindresorhus-awesome"] --- # RGB vs awesome *GraphCanon updated Aug 4, 2026* ## Verdict Pick RGB if rGB is a Python package with no descriptive summary or topics, available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license; pick awesome if a curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. [RGB](https://github.com/chen700564/RGB) reports 371 GitHub stars, 39 forks, and 17 open issues, last pushed May 17, 2024. [awesome](https://github.com/sindresorhus/awesome) has 492k stars, 36k forks, and 100 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [RGB's repository](https://github.com/chen700564/RGB) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [RGB](/tools/chen700564-rgb.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | RGB | 😎 Awesome lists about all kinds of interesting topics | | Stars | 371 | 492,352 | | Forks | 39 | 36,224 | | Open issues | 17 | 100 | | Language | Python | - | | Adopt for | RGB is a Python package with no descriptive summary or topics, available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license. | A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. | | Persona | - | - | | Runtime | - | - | | License | Other | CC0-1.0 | | Categories | Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [RGB](/tools/chen700564-rgb.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 806d | 34d | | Open issues (now) | 17 | 100 | | Full report | [trust report](/tools/chen700564-rgb/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Decision facts: RGB - **Adopt for:** RGB is a Python package with no descriptive summary or topics, available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license. ## Decision facts: awesome - **Adopt for:** A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. ## Choose when ### Choose RGB if… - License: RGB is Other, awesome is CC0-1.0. - Tags unique to RGB: python. - When you need a tool licensed for non-commercial use only and willing to seek permissions for commercial scenarios. ### Choose awesome if… - License: awesome is CC0-1.0, RGB is Other. - Tags unique to awesome: awesome, awesome-list, lists, resources. - When you need well-organized access to diverse technical subjects from IoT to robotics ## When NOT to use RGB - Avoid if your project requires commercial licensing without seeking additional permissions. ## 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 RGB and awesome? RGB: RGB. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories. ### When should I choose RGB over awesome? Choose RGB over awesome when License: RGB is Other, awesome is CC0-1.0; Tags unique to RGB: python; When you need a tool licensed for non-commercial use only and willing to seek permissions for commercial scenarios. ### When should I choose awesome over RGB? Choose awesome over RGB when License: awesome is CC0-1.0, RGB is Other; Tags unique to awesome: awesome, awesome-list, lists, resources; When you need well-organized access to diverse technical subjects from IoT to robotics. ### When should I avoid RGB? Avoid if your project requires commercial licensing without seeking additional permissions. ### 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 RGB or awesome more popular on GitHub? awesome has more GitHub stars (492,352 vs 371). Stars measure visibility, not whether either tool fits your constraints. ### Are RGB and awesome open source? Yes - both are open-source projects on GitHub (RGB: Other, awesome: CC0-1.0). ### Where can I find alternatives to RGB or awesome? GraphCanon lists graph-backed alternatives at [RGB alternatives](/tools/chen700564-rgb/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([RGB markdown twin](/tools/chen700564-rgb/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/chen700564-rgb-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, RGB or awesome? RGB: Dormant. awesome: Steady. 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 RGB and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [RGB trust report](/tools/chen700564-rgb/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=chen700564-rgb`](/api/graphcanon/graph?tool=chen700564-rgb) - 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/_