--- title: "argo-workflows vs workflow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/argoproj-argo-workflows-vs-durable-workflow-workflow" tools: ["argoproj-argo-workflows", "durable-workflow-workflow"] --- # argo-workflows vs workflow *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 workflow if core package for defining and running durable workflows in PHP with support for long-running tasks, retries, queue management, parallel execution, workflow monitoring, and orchestration. [argo-workflows](https://argo-workflows.readthedocs.io/) reports 17k GitHub stars, 3.6k forks, and 1.3k open issues, last pushed Sep 3, 2026. [workflow](https://durable-workflow.com) has 1.2k stars, 79 forks, and 6 open issues, last pushed Sep 12, 2026. Figures are from public GitHub metadata via [argo-workflows's repository](https://github.com/argoproj/argo-workflows) and [workflow's repository](https://github.com/durable-workflow/workflow). | | [argo-workflows](/tools/argoproj-argo-workflows.md) | [workflow](/tools/durable-workflow-workflow.md) | | --- | --- | --- | | Tagline | Workflow Engine for Kubernetes | Core package for defining and running durable workflows including support for long-running tasks, retries, queue management, parallel execution, workflow monitoring, and orchestration. | | Stars | 16,956 | 1,246 | | Forks | 3,643 | 79 | | Open issues | 1,269 | 6 | | Language | Go | PHP | | 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. | Core package for defining and running durable workflows in PHP with support for long-running tasks, retries, queue management, parallel execution, workflow monitoring, and orchestration. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | 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) | [workflow](/tools/durable-workflow-workflow.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 7d | | Open issues (now) | 1.3k | 6 | | Stars delta | +89 (30d) | +15 (30d) | | Open issues delta | -52 (30d) | +6 (30d) | | Full report | [trust report](/tools/argoproj-argo-workflows/trust.md) | [trust report](/tools/durable-workflow-workflow/trust.md) | ## Shared compatibility - **Python**: [argo-workflows](/tools/argoproj-argo-workflows.md) - Python runtime; [workflow](/tools/durable-workflow-workflow.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: workflow - **Adopt for:** Core package for defining and running durable workflows in PHP with support for long-running tasks, retries, queue management, parallel execution, workflow monitoring, and orchestration. ## Choose when ### Choose argo-workflows if… - argo-workflows is primarily Go; workflow is PHP. - License: argo-workflows is Apache-2.0, workflow is MIT. - Tags unique to argo-workflows: cloud-native, machine-learning, mlops, pipelines. - Also covers Model Training. - argo-workflows ships Docker support for self-hosted deployment. - When orchestrating container-native workflows for tasks like machine learning or data processing on Kubernetes ### Choose workflow if… - workflow is primarily PHP; argo-workflows is Go. - License: workflow is MIT, argo-workflows is Apache-2.0. - Tags unique to workflow: background-jobs, bpm, bpmn, durable-functions. - When your project requires handling long_running persistent workflows in PHP ## 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 workflow - If you prefer tools not anchored in PHP for workflow management - When project requirements do not include orchestration capabilities for microservices or sagas - For simpler workflows that do not require advanced retry mechanisms and parallel execution features ## Common questions ### What is the difference between argo-workflows and workflow? argo-workflows: Workflow Engine for Kubernetes. workflow: Core package for defining and running durable workflows including support for long-running tasks, retries, queue management, parallel execution, workflow monitoring, and orchestration.. See the comparison table for live GitHub stats and shared categories. ### When should I choose argo-workflows over workflow? Choose argo-workflows over workflow when argo-workflows is primarily Go; workflow is PHP; License: argo-workflows is Apache-2.0, workflow is MIT; Tags unique to argo-workflows: cloud-native, machine-learning, mlops, pipelines; Also covers Model Training; argo-workflows ships Docker support for self-hosted deployment; When orchestrating container-native workflows for tasks like machine learning or data processing on Kubernetes. ### When should I choose workflow over argo-workflows? Choose workflow over argo-workflows when workflow is primarily PHP; argo-workflows is Go; License: workflow is MIT, argo-workflows is Apache-2.0; Tags unique to workflow: background-jobs, bpm, bpmn, durable-functions; When your project requires handling long_running persistent workflows in PHP. ### 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 workflow? If you prefer tools not anchored in PHP for workflow management When project requirements do not include orchestration capabilities for microservices or sagas For simpler workflows that do not require advanced retry mechanisms and parallel execution features ### Is argo-workflows or workflow more popular on GitHub? argo-workflows has more GitHub stars (16,956 vs 1,246). Stars measure visibility, not whether either tool fits your constraints. ### Are argo-workflows and workflow open source? Yes - both are open-source projects on GitHub (argo-workflows: Apache-2.0, workflow: MIT). ### Where can I find alternatives to argo-workflows or workflow? GraphCanon lists graph-backed alternatives at [argo-workflows alternatives](/tools/argoproj-argo-workflows/alternatives) and [workflow alternatives](/tools/durable-workflow-workflow/alternatives) ([argo-workflows markdown twin](/tools/argoproj-argo-workflows/alternatives.md), [workflow markdown twin](/tools/durable-workflow-workflow/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-durable-workflow-workflow.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, argo-workflows or workflow? argo-workflows: Very active. workflow: 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 argo-workflows and workflow? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [argo-workflows trust report](/tools/argoproj-argo-workflows/trust); [workflow trust report](/tools/durable-workflow-workflow/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/_