--- title: "airflow vs RGB" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-airflow-vs-chen700564-rgb" tools: ["apache-airflow", "chen700564-rgb"] --- # airflow vs RGB *GraphCanon updated Aug 10, 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 RGB if rGB is a Python package with no descriptive summary or topics, available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license. [airflow](https://airflow.apache.org/) reports 46k GitHub stars, 18k forks, and 1.9k open issues, last pushed Aug 9, 2026. [RGB](https://github.com/chen700564/RGB) has 371 stars, 39 forks, and 17 open issues, last pushed May 17, 2024. Figures are from public GitHub metadata via [airflow's repository](https://github.com/apache/airflow) and [RGB's repository](https://github.com/chen700564/RGB). | | [airflow](/tools/apache-airflow.md) | [RGB](/tools/chen700564-rgb.md) | | --- | --- | --- | | Tagline | A platform to programmatically author, schedule, and monitor workflows | RGB | | Stars | 46,425 | 371 | | Forks | 17,546 | 39 | | Open issues | 1,882 | 17 | | Language | Python | Python | | 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. | RGB is a Python package with no descriptive summary or topics, available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [airflow](/tools/apache-airflow.md) | [RGB](/tools/chen700564-rgb.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 806d | | Open issues (now) | 1.9k | 17 | | Owner type | Organization | User | | Full report | [trust report](/tools/apache-airflow/trust.md) | [trust report](/tools/chen700564-rgb/trust.md) | ## 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: 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. ## Choose when ### Choose airflow if… - License: airflow is Apache-2.0, RGB is Other. - Tags unique to airflow: airflow, apache, automation, dag. - airflow ships Docker support for self-hosted deployment. - If you need to model complex workflow dependency graphs with Directed Acyclic Graphs (DAGs). ### Choose RGB if… - License: RGB is Other, airflow is Apache-2.0. - 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 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 RGB - Avoid if your project requires commercial licensing without seeking additional permissions. ## Common questions ### What is the difference between airflow and RGB? airflow: A platform to programmatically author, schedule, and monitor workflows. RGB: RGB. See the comparison table for live GitHub stats and shared categories. ### When should I choose airflow over RGB? Choose airflow over RGB when License: airflow is Apache-2.0, RGB is Other; Tags unique to airflow: airflow, apache, automation, dag; 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 RGB over airflow? Choose RGB over airflow when License: RGB is Other, airflow is Apache-2.0; 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 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 RGB? Avoid if your project requires commercial licensing without seeking additional permissions. ### Is airflow or RGB more popular on GitHub? airflow has more GitHub stars (46,425 vs 371). Stars measure visibility, not whether either tool fits your constraints. ### Are airflow and RGB open source? Yes - both are open-source projects on GitHub (airflow: Apache-2.0, RGB: Other). ### Where can I find alternatives to airflow or RGB? GraphCanon lists graph-backed alternatives at [airflow alternatives](/tools/apache-airflow/alternatives) and [RGB alternatives](/tools/chen700564-rgb/alternatives) ([airflow markdown twin](/tools/apache-airflow/alternatives.md), [RGB markdown twin](/tools/chen700564-rgb/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-chen700564-rgb.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, airflow or RGB? airflow: Very active. RGB: Dormant. 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 RGB? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [airflow trust report](/tools/apache-airflow/trust); [RGB trust report](/tools/chen700564-rgb/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/_