--- title: "argo-workflows vs docker-airflow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/argoproj-argo-workflows-vs-puckel-docker-airflow" tools: ["argoproj-argo-workflows", "puckel-docker-airflow"] --- # argo-workflows vs docker-airflow *GraphCanon updated Sep 20, 2026* ## Verdict Pick argo-workflows if argo Workflows, an open-source workflow engine for Kubernetes implemented as a CRD, is popular due to its lightweight design, scalability, and extensive artifact support; pick docker-airflow if docker-airflow leverages Docker to provide streamlined management of Apache Airflow environments, making it easy for developers to maintain and deploy workflows. [argo-workflows](https://argo-workflows.readthedocs.io/) reports 17k GitHub stars, 3.6k forks, and 1.3k open issues, last pushed Sep 3, 2026. [docker-airflow](https://github.com/puckel/docker-airflow) has 3.8k stars, 591 forks, and 261 open issues, last pushed Mar 1, 2023. Figures are from public GitHub metadata via [argo-workflows's repository](https://github.com/argoproj/argo-workflows) and [docker-airflow's repository](https://github.com/puckel/docker-airflow). | | [argo-workflows](/tools/argoproj-argo-workflows.md) | [docker-airflow](/tools/puckel-docker-airflow.md) | | --- | --- | --- | | Tagline | Workflow Engine for Kubernetes | Docker Apache Airflow | | Stars | 16,956 | 3,810 | | Forks | 3,643 | 591 | | Open issues | 1,269 | 261 | | Language | Go | Shell | | Adopt for | Argo Workflows, an open-source workflow engine for Kubernetes implemented as a CRD, is popular due to its lightweight design, scalability, and extensive artifact support. | docker-airflow leverages Docker to provide streamlined management of Apache Airflow environments, making it easy for developers to maintain and deploy workflows. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Developer Tools, Model Training | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [argo-workflows](/tools/argoproj-argo-workflows.md) | [docker-airflow](/tools/puckel-docker-airflow.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 1294d | | Open issues (now) | 1.3k | 261 | | Stars delta | +89 (30d) | -1 (30d) | | Open issues delta | -52 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/argoproj-argo-workflows/trust.md) | [trust report](/tools/puckel-docker-airflow/trust.md) | ## Shared compatibility - **Python**: [argo-workflows](/tools/argoproj-argo-workflows.md) - Python runtime; [docker-airflow](/tools/puckel-docker-airflow.md) - Python runtime ## Decision facts: argo-workflows - **Adopt for:** Argo Workflows, an open-source workflow engine for Kubernetes implemented as a CRD, is popular due to its lightweight design, scalability, and extensive artifact support. ## Decision facts: docker-airflow - **Pricing:** freemium - Open source under the Apache-2.0 license, it is free of cost, but support and enterprise features might come at a premium. - **Requirements:** Requires Docker - **Adopt for:** docker-airflow leverages Docker to provide streamlined management of Apache Airflow environments, making it easy for developers to maintain and deploy workflows. ## Choose when ### Choose argo-workflows if… - argo-workflows is primarily Go; docker-airflow is Shell. - Tags unique to argo-workflows: cloud-native, machine-learning, mlops, pipelines. - Also covers Model Training. - When orchestrating container-native workflows for tasks like machine learning or data processing on Kubernetes ### Choose docker-airflow if… - docker-airflow is primarily Shell; argo-workflows is Go. - Pricing: Open source under the Apache-2.0 license, it is free of cost, but support and enterprise features might come at a premium.. - Requirements: Requires Docker. - Tags unique to docker-airflow: airflow, docker. - Opt for docker-airflow if you are already using Docker in your workflow setup, because it seamlessly integrates with existing infrastructure without needing additional configuration steps. ## When NOT to use argo-workflows - In non-Kubernetes environments due to its tight integration with Kubernetes CRDs and native features - For legacy system migrations that require significant VM and server-based overheads, as Argo Workflows is container-centric without such layers ## When NOT to use docker-airflow - Avoid docker-airflow if you require a completely customized setup for your workflow management system and have limited experience or resources to understand and manage Docker configurations. - Should be avoided in environments where there is no need for containerization benefits as using docker-airflow may introduce unneeded complexity. ## Common questions ### What is the difference between argo-workflows and docker-airflow? argo-workflows: Workflow Engine for Kubernetes. docker-airflow: Docker Apache Airflow. See the comparison table for live GitHub stats and shared categories. ### When should I choose argo-workflows over docker-airflow? Choose argo-workflows over docker-airflow when argo-workflows is primarily Go; docker-airflow is Shell; Tags unique to argo-workflows: cloud-native, machine-learning, mlops, pipelines; Also covers Model Training; When orchestrating container-native workflows for tasks like machine learning or data processing on Kubernetes. ### When should I choose docker-airflow over argo-workflows? Choose docker-airflow over argo-workflows when docker-airflow is primarily Shell; argo-workflows is Go; Pricing: Open source under the Apache-2.0 license, it is free of cost, but support and enterprise features might come at a premium.; Requirements: Requires Docker; Tags unique to docker-airflow: airflow, docker; Opt for docker-airflow if you are already using Docker in your workflow setup, because it seamlessly integrates with existing infrastructure without needing additional configuration steps. ### When should I avoid argo-workflows? In non-Kubernetes environments due to its tight integration with Kubernetes CRDs and native features For legacy system migrations that require significant VM and server-based overheads, as Argo Workflows is container-centric without such layers ### When should I avoid docker-airflow? Avoid docker-airflow if you require a completely customized setup for your workflow management system and have limited experience or resources to understand and manage Docker configurations. Should be avoided in environments where there is no need for containerization benefits as using docker-airflow may introduce unneeded complexity. ### Is argo-workflows or docker-airflow more popular on GitHub? argo-workflows has more GitHub stars (16,956 vs 3,810). Stars measure visibility, not whether either tool fits your constraints. ### Are argo-workflows and docker-airflow open source? Yes - both are open-source projects on GitHub (argo-workflows: Apache-2.0, docker-airflow: Apache-2.0). ### Where can I find alternatives to argo-workflows or docker-airflow? GraphCanon lists graph-backed alternatives at [argo-workflows alternatives](/tools/argoproj-argo-workflows/alternatives) and [docker-airflow alternatives](/tools/puckel-docker-airflow/alternatives) ([argo-workflows markdown twin](/tools/argoproj-argo-workflows/alternatives.md), [docker-airflow markdown twin](/tools/puckel-docker-airflow/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/argoproj-argo-workflows-vs-puckel-docker-airflow.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, argo-workflows or docker-airflow? argo-workflows: Very active. docker-airflow: 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 argo-workflows and docker-airflow? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [argo-workflows trust report](/tools/argoproj-argo-workflows/trust); [docker-airflow trust report](/tools/puckel-docker-airflow/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=argoproj-argo-workflows`](/api/graphcanon/graph?tool=argoproj-argo-workflows) - 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/_