--- title: "CGraph vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chunelfeng-cgraph-vs-sindresorhus-awesome" tools: ["chunelfeng-cgraph", "sindresorhus-awesome"] --- # CGraph vs awesome *GraphCanon updated Sep 20, 2026* ## Verdict Pick CGraph if cGraph is a cross-platform Directed Acyclic Graph (DAG) framework in pure C++, aiding developers in building custom operators and pipelines for various workflows without any third-party dependencies; pick awesome if a curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. [CGraph](http://www.chunel.cn) reports 2.3k GitHub stars, 390 forks, and 11 open issues, last pushed Sep 7, 2026. [awesome](https://github.com/sindresorhus/awesome) has 503k stars, 37k forks, and 106 open issues, last pushed Sep 2, 2026. Figures are from public GitHub metadata via [CGraph's repository](https://github.com/ChunelFeng/CGraph) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [CGraph](/tools/chunelfeng-cgraph.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | A common used C++ & Python DAG framework | 😎 Awesome lists about all kinds of interesting topics | | Stars | 2,302 | 502,873 | | Forks | 390 | 36,704 | | Open issues | 11 | 106 | | Language | C++ | - | | Adopt for | CGraph is a cross-platform Directed Acyclic Graph (DAG) framework in pure C++, aiding developers in building custom operators and pipelines for various workflows without any third-party dependencies. | A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. | | Persona | - | - | | Runtime | - | - | | License | MIT | CC0-1.0 | | Categories | Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [CGraph](/tools/chunelfeng-cgraph.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 9d | 2d | | Open issues (now) | 11 | 106 | | Stars delta | +8 (30d) | +11k (30d) | | Open issues delta | -3 (30d) | +6 (30d) | | Full report | [trust report](/tools/chunelfeng-cgraph/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Decision facts: CGraph - **Pricing:** freemium - Free and open-source software with a MIT license, offering gratis usage for all, including for commercial purposes. - **Requirements:** Min 0.5 GB RAM; C++11 support is required in your compiler.; Python version 'pycgraph' package is supported for Python API usage. - **Adopt for:** CGraph is a cross-platform Directed Acyclic Graph (DAG) framework in pure C++, aiding developers in building custom operators and pipelines for various workflows without any third-party dependencies. - **License detail:** MIT ## Decision facts: awesome - **Adopt for:** A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. ## Choose when ### Choose CGraph if… - License: CGraph is MIT, awesome is CC0-1.0. - Pricing: Free and open-source software with a MIT license, offering gratis usage for all, including for commercial purposes.. - Requirements: Min 0.5 GB RAM; C++11 support is required in your compiler.; Python version 'pycgraph' package is supported for Python API usage.. - Tags unique to CGraph: ai, ai-agents, dag, graph. - Use CGraph when you need a cross-platform DAG framework that supports constructing custom operators directly in C++. ### Choose awesome if… - License: awesome is CC0-1.0, CGraph is MIT. - 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 CGraph - Avoid using CGraph when your workflow primarily involves tasks that are better suited for language ecosystems outside of C++ and Python, such as Java or JavaScript. - Do not use this framework if you require specialized features provided by specific third-party libraries that enhance or tailor the capabilities beyond what pure C++ offers. ## 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 CGraph and awesome? CGraph: A common used C++ & Python DAG framework. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories. ### When should I choose CGraph over awesome? Choose CGraph over awesome when License: CGraph is MIT, awesome is CC0-1.0; Pricing: Free and open-source software with a MIT license, offering gratis usage for all, including for commercial purposes.; Requirements: Min 0.5 GB RAM; C++11 support is required in your compiler.; Python version 'pycgraph' package is supported for Python API usage.; Tags unique to CGraph: ai, ai-agents, dag, graph; Use CGraph when you need a cross-platform DAG framework that supports constructing custom operators directly in C++. ### When should I choose awesome over CGraph? Choose awesome over CGraph when License: awesome is CC0-1.0, CGraph is MIT; 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 CGraph? Avoid using CGraph when your workflow primarily involves tasks that are better suited for language ecosystems outside of C++ and Python, such as Java or JavaScript. Do not use this framework if you require specialized features provided by specific third-party libraries that enhance or tailor the capabilities beyond what pure C++ offers. ### 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 CGraph or awesome more popular on GitHub? awesome has more GitHub stars (502,873 vs 2,302). Stars measure visibility, not whether either tool fits your constraints. ### Are CGraph and awesome open source? Yes - both are open-source projects on GitHub (CGraph: MIT, awesome: CC0-1.0). ### Where can I find alternatives to CGraph or awesome? GraphCanon lists graph-backed alternatives at [CGraph alternatives](/tools/chunelfeng-cgraph/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([CGraph markdown twin](/tools/chunelfeng-cgraph/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/chunelfeng-cgraph-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, CGraph or awesome? CGraph: Active. awesome: Very 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 CGraph and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [CGraph trust report](/tools/chunelfeng-cgraph/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=chunelfeng-cgraph`](/api/graphcanon/graph?tool=chunelfeng-cgraph) - 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/_