--- title: "argo-workflows vs SpiffWorkflow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/argoproj-argo-workflows-vs-sartography-spiffworkflow" tools: ["argoproj-argo-workflows", "sartography-spiffworkflow"] --- # argo-workflows vs SpiffWorkflow *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 SpiffWorkflow if spiffWorkflow is an open-source Python workflow engine that adheres to BPMN specifications. [argo-workflows](https://argo-workflows.readthedocs.io/) reports 17k GitHub stars, 3.6k forks, and 1.3k open issues, last pushed Sep 3, 2026. [SpiffWorkflow](https://github.com/sartography/SpiffWorkflow) has 1.9k stars, 343 forks, and 8 open issues, last pushed Sep 2, 2026. Figures are from public GitHub metadata via [argo-workflows's repository](https://github.com/argoproj/argo-workflows) and [SpiffWorkflow's repository](https://github.com/sartography/SpiffWorkflow). | | [argo-workflows](/tools/argoproj-argo-workflows.md) | [SpiffWorkflow](/tools/sartography-spiffworkflow.md) | | --- | --- | --- | | Tagline | Workflow Engine for Kubernetes | A powerful workflow engine implemented in pure Python | | Stars | 16,956 | 1,917 | | Forks | 3,643 | 343 | | Open issues | 1,269 | 8 | | Language | Go | Python | | 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. | SpiffWorkflow is an open-source Python workflow engine that adheres to BPMN specifications. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | LGPL-3.0 | | 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) | [SpiffWorkflow](/tools/sartography-spiffworkflow.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 14d | | Open issues (now) | 1.3k | 8 | | Stars delta | +89 (30d) | +7 (30d) | | Open issues delta | -52 (30d) | 0 (30d) | | Full report | [trust report](/tools/argoproj-argo-workflows/trust.md) | [trust report](/tools/sartography-spiffworkflow/trust.md) | ## Shared compatibility - **Python**: [argo-workflows](/tools/argoproj-argo-workflows.md) - Python runtime; [SpiffWorkflow](/tools/sartography-spiffworkflow.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: SpiffWorkflow - **Adopt for:** SpiffWorkflow is an open-source Python workflow engine that adheres to BPMN specifications. ## Choose when ### Choose argo-workflows if… - argo-workflows is primarily Go; SpiffWorkflow is Python. - License: argo-workflows is Apache-2.0, SpiffWorkflow is LGPL-3.0. - 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 SpiffWorkflow if… - SpiffWorkflow is primarily Python; argo-workflows is Go. - License: SpiffWorkflow is LGPL-3.0, argo-workflows is Apache-2.0. - Tags unique to SpiffWorkflow: bpmn, bpmn-engine, python, workflow. - You need a pure Python solution without external dependencies for implementing BPMN workflows. ## 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 SpiffWorkflow - The project demands real-time performance or low-latency requirements as SpiffWorkflow, being a Python library, might not meet those stringent criteria. - You require integration with non-BPMN workflow specifications exclusively. ## Common questions ### What is the difference between argo-workflows and SpiffWorkflow? argo-workflows: Workflow Engine for Kubernetes. SpiffWorkflow: A powerful workflow engine implemented in pure Python. See the comparison table for live GitHub stats and shared categories. ### When should I choose argo-workflows over SpiffWorkflow? Choose argo-workflows over SpiffWorkflow when argo-workflows is primarily Go; SpiffWorkflow is Python; License: argo-workflows is Apache-2.0, SpiffWorkflow is LGPL-3.0; 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 SpiffWorkflow over argo-workflows? Choose SpiffWorkflow over argo-workflows when SpiffWorkflow is primarily Python; argo-workflows is Go; License: SpiffWorkflow is LGPL-3.0, argo-workflows is Apache-2.0; Tags unique to SpiffWorkflow: bpmn, bpmn-engine, python, workflow; You need a pure Python solution without external dependencies for implementing BPMN workflows. ### 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 SpiffWorkflow? The project demands real-time performance or low-latency requirements as SpiffWorkflow, being a Python library, might not meet those stringent criteria. You require integration with non-BPMN workflow specifications exclusively. ### Is argo-workflows or SpiffWorkflow more popular on GitHub? argo-workflows has more GitHub stars (16,956 vs 1,917). Stars measure visibility, not whether either tool fits your constraints. ### Are argo-workflows and SpiffWorkflow open source? Yes - both are open-source projects on GitHub (argo-workflows: Apache-2.0, SpiffWorkflow: LGPL-3.0). ### Where can I find alternatives to argo-workflows or SpiffWorkflow? GraphCanon lists graph-backed alternatives at [argo-workflows alternatives](/tools/argoproj-argo-workflows/alternatives) and [SpiffWorkflow alternatives](/tools/sartography-spiffworkflow/alternatives) ([argo-workflows markdown twin](/tools/argoproj-argo-workflows/alternatives.md), [SpiffWorkflow markdown twin](/tools/sartography-spiffworkflow/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-sartography-spiffworkflow.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, argo-workflows or SpiffWorkflow? argo-workflows: Very active. SpiffWorkflow: 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 SpiffWorkflow? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [argo-workflows trust report](/tools/argoproj-argo-workflows/trust); [SpiffWorkflow trust report](/tools/sartography-spiffworkflow/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/_