--- title: "coca vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/phodal-coca-vs-sindresorhus-awesome" tools: ["phodal-coca", "sindresorhus-awesome"] --- # coca vs awesome *GraphCanon updated Jul 15, 2026* ## Verdict Pick coca when license: coca is MPL-2.0, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, coca is MPL-2.0. [coca](https://coca.migration.ink/) reports 989 GitHub stars, 117 forks, and 0 open issues, last pushed Jan 6, 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 [coca's repository](https://github.com/phodal/coca) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [coca](/tools/phodal-coca.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | Coca is a toolbox which is design for legacy system refactoring and analysis, includes call graph, concept analysis, api tree, design patterns suggest. Coca 是一个用于系统重构、系统迁移和系统分析的工具箱。它可以分析代码中的测试坏味道、模块化分 | 😎 Awesome lists about all kinds of interesting topics | | Stars | 989 | 484,026 | | Forks | 117 | 35,799 | | Open issues | 0 | 92 | | Language | Go | - | | Adopt for | - | A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. | | Persona | - | - | | Runtime | - | - | | License | MPL-2.0 | CC0-1.0 | | Categories | Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [coca](/tools/phodal-coca.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 190d | 11d | | Open issues (now) | 0 | 92 | | Full report | [trust report](/tools/phodal-coca/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 coca if… - License: coca is MPL-2.0, awesome is CC0-1.0. - Tags unique to coca: ai, architecture, automation, git. - Leaner open-issue backlog (0). ### Choose awesome if… - License: awesome is CC0-1.0, coca is MPL-2.0. - 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 coca - Last GitHub push was 190 days ago (slowing maintenance, Jan 6, 2026). Validate activity before betting a new project on coca. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## 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 coca and awesome? coca: Coca is a toolbox which is design for legacy system refactoring and analysis, includes call graph, concept analysis, api tree, design patterns suggest. Coca 是一个用于系统重构、系统迁移和系统分析的工具箱。它可以分析代码中的测试坏味道、模块化分. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories. ### When should I choose coca over awesome? Choose coca over awesome when License: coca is MPL-2.0, awesome is CC0-1.0; Tags unique to coca: ai, architecture, automation, git; Leaner open-issue backlog (0). ### When should I choose awesome over coca? Choose awesome over coca when License: awesome is CC0-1.0, coca is MPL-2.0; 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 coca? Last GitHub push was 190 days ago (slowing maintenance, Jan 6, 2026). Validate activity before betting a new project on coca. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### 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 coca or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 989). Stars measure visibility, not whether either tool fits your constraints. ### Are coca and awesome open source? Yes - both are open-source projects on GitHub (coca: MPL-2.0, awesome: CC0-1.0). ### Where can I find alternatives to coca or awesome? GraphCanon lists graph-backed alternatives at [coca alternatives](/tools/phodal-coca/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([coca markdown twin](/tools/phodal-coca/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/phodal-coca-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, coca or awesome? coca: 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 coca and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [coca trust report](/tools/phodal-coca/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=phodal-coca`](/api/graphcanon/graph?tool=phodal-coca) - 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/_