--- title: "airflow vs CGraph" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-airflow-vs-chunelfeng-cgraph" tools: ["apache-airflow", "chunelfeng-cgraph"] --- # airflow vs CGraph *GraphCanon updated Sep 20, 2026* ## Verdict Pick airflow if apache Airflow is a Python-based orchestrator for scheduling and monitoring workflows, suitable for tasks that require flexible DAG (Directed Acyclic Graph) definitions; 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. [airflow](https://airflow.apache.org/) reports 47k GitHub stars, 18k forks, and 2.1k open issues, last pushed Sep 14, 2026. [CGraph](http://www.chunel.cn) has 2.3k stars, 390 forks, and 11 open issues, last pushed Sep 7, 2026. Figures are from public GitHub metadata via [airflow's repository](https://github.com/apache/airflow) and [CGraph's repository](https://github.com/ChunelFeng/CGraph). | | [airflow](/tools/apache-airflow.md) | [CGraph](/tools/chunelfeng-cgraph.md) | | --- | --- | --- | | Tagline | A platform to programmatically author, schedule, and monitor workflows | A common used C++ & Python DAG framework | | Stars | 46,844 | 2,302 | | Forks | 17,829 | 390 | | Open issues | 2,144 | 11 | | Language | Python | C++ | | Adopt for | Apache Airflow is a Python-based orchestrator for scheduling and monitoring workflows, suitable for tasks that require flexible DAG (Directed Acyclic Graph) definitions. | 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. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [airflow](/tools/apache-airflow.md) | [CGraph](/tools/chunelfeng-cgraph.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 9d | | Open issues (now) | 2.1k | 11 | | Stars delta | +419 (30d) | +8 (30d) | | Open issues delta | +262 (30d) | -3 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/apache-airflow/trust.md) | [trust report](/tools/chunelfeng-cgraph/trust.md) | ## Shared compatibility - **Python**: [airflow](/tools/apache-airflow.md) - Python runtime; [CGraph](/tools/chunelfeng-cgraph.md) - Python runtime ## Decision facts: airflow - **Adopt for:** Apache Airflow is a Python-based orchestrator for scheduling and monitoring workflows, suitable for tasks that require flexible DAG (Directed Acyclic Graph) definitions. ## 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 ## Choose when ### Choose airflow if… - airflow is primarily Python; CGraph is C++. - License: airflow is Apache-2.0, CGraph is MIT. - Tags unique to airflow: airflow, apache, automation, data-engineering. - airflow ships Docker support for self-hosted deployment. - If you need to model complex workflow dependency graphs with Directed Acyclic Graphs (DAGs). ### Choose CGraph if… - CGraph is primarily C++; airflow is Python. - License: CGraph is MIT, airflow is Apache-2.0. - 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, graph, pipeline. - Use CGraph when you need a cross-platform DAG framework that supports constructing custom operators directly in C++. ## When NOT to use airflow - Avoid if you require Windows as the primary execution environment without using WSL2. - If your project strictly adheres to MariaDB for database management, Airflow is not recommended because it is neither tested nor supported by the tool. ## 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. ## Common questions ### What is the difference between airflow and CGraph? airflow: A platform to programmatically author, schedule, and monitor workflows. CGraph: A common used C++ & Python DAG framework. See the comparison table for live GitHub stats and shared categories. ### When should I choose airflow over CGraph? Choose airflow over CGraph when airflow is primarily Python; CGraph is C++; License: airflow is Apache-2.0, CGraph is MIT; Tags unique to airflow: airflow, apache, automation, data-engineering; airflow ships Docker support for self-hosted deployment; If you need to model complex workflow dependency graphs with Directed Acyclic Graphs (DAGs). ### When should I choose CGraph over airflow? Choose CGraph over airflow when CGraph is primarily C++; airflow is Python; License: CGraph is MIT, airflow is Apache-2.0; 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, graph, pipeline; Use CGraph when you need a cross-platform DAG framework that supports constructing custom operators directly in C++. ### When should I avoid airflow? Avoid if you require Windows as the primary execution environment without using WSL2. If your project strictly adheres to MariaDB for database management, Airflow is not recommended because it is neither tested nor supported by the tool. ### 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. ### Is airflow or CGraph more popular on GitHub? airflow has more GitHub stars (46,844 vs 2,302). Stars measure visibility, not whether either tool fits your constraints. ### Are airflow and CGraph open source? Yes - both are open-source projects on GitHub (airflow: Apache-2.0, CGraph: MIT). ### Where can I find alternatives to airflow or CGraph? GraphCanon lists graph-backed alternatives at [airflow alternatives](/tools/apache-airflow/alternatives) and [CGraph alternatives](/tools/chunelfeng-cgraph/alternatives) ([airflow markdown twin](/tools/apache-airflow/alternatives.md), [CGraph markdown twin](/tools/chunelfeng-cgraph/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/apache-airflow-vs-chunelfeng-cgraph.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, airflow or CGraph? airflow: Very active. CGraph: 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 airflow and CGraph? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [airflow trust report](/tools/apache-airflow/trust); [CGraph trust report](/tools/chunelfeng-cgraph/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=apache-airflow`](/api/graphcanon/graph?tool=apache-airflow) - 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/_