Comparison
argo-workflows vs SpiffWorkflow
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.
Markdown twin · argo-workflows alternatives · SpiffWorkflow alternatives
GraphCanon updated Sep 20, 2026
7views this month
vs
Trust & integrity
| Signal | argo-workflows | SpiffWorkflow |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 3, 2026 · github_public_v1 | Active (14d since push) As of Sep 17, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 3, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 17, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | No lockfile (source not queried) As of Aug 2, 2026 · deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Published findings As of Jul 26, 2026 · openssf-scorecard@v1 |
Tagline
- argo-workflows
- Workflow Engine for Kubernetes
- SpiffWorkflow
- A powerful workflow engine implemented in pure Python
Stars
- argo-workflows
- 17k
- SpiffWorkflow
- 1.9k
Forks
- argo-workflows
- 3.6k
- SpiffWorkflow
- 343
Open issues
- argo-workflows
- 1.3k
- SpiffWorkflow
- 8
Language
- argo-workflows
- Go
- SpiffWorkflow
- Python
Adopt for
- argo-workflows
- 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
- SpiffWorkflow is an open-source Python workflow engine that adheres to BPMN specifications.
Persona
- argo-workflows
- -
- SpiffWorkflow
- -
Runtime
- argo-workflows
- -
- SpiffWorkflow
- -
License
- argo-workflows
- Apache-2.0
- SpiffWorkflow
- LGPL-3.0
Last pushed
- argo-workflows
- Sep 3, 2026
- SpiffWorkflow
- Sep 2, 2026
Categories
- argo-workflows
- Developer Tools, Model Training
- SpiffWorkflow
- Developer Tools
Trust and health
Maintenance
- argo-workflows
- Very active (96%)
- SpiffWorkflow
- Active (82%)
Days since push
- argo-workflows
- 0d
- SpiffWorkflow
- 14d
Open issues (now)
- argo-workflows
- 1.3k
- SpiffWorkflow
- 8
Stars delta
- argo-workflows
- +89 (30d)
- SpiffWorkflow
- +7 (30d)
Open issues delta
- argo-workflows
- -52 (30d)
- SpiffWorkflow
- 0 (30d)
OSV dependency advisories
- argo-workflows
- No published findings from this source as of 2026-07-11
- SpiffWorkflow
- No lockfile (source not queried)
deps.dev advisories
- argo-workflows
- Not queried
- SpiffWorkflow
- No lockfile (source not queried)
OpenSSF Scorecard
- argo-workflows
- Not queried
- SpiffWorkflow
- Published findings
Full report
- argo-workflows
- Trust report
- SpiffWorkflow
- Trust report
Shared compatibility
- Python · argo-workflows: Python runtime · SpiffWorkflow: Python runtime
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
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
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (argoproj/argo-workflows) · observed Sep 20, 2026
- GitHub forks (argoproj/argo-workflows) · observed Sep 20, 2026
- Last push (argoproj/argo-workflows) · observed Sep 3, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sartography/SpiffWorkflow) · observed Sep 20, 2026
- GitHub forks (sartography/SpiffWorkflow) · observed Sep 20, 2026
- Last push (sartography/SpiffWorkflow) · observed Sep 2, 2026
- License file (LGPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: argo-workflows 17k · SpiffWorkflow 1.9k (synced Sep 20, 2026).
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 and SpiffWorkflow alternatives (argo-workflows markdown twin, SpiffWorkflow markdown twin), 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 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; SpiffWorkflow trust report.