Comparison
airflow vs argo-workflows
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 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.
Markdown twin · airflow alternatives · argo-workflows alternatives
GraphCanon updated Sep 14, 2026
10views this month
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Trust & integrity
| Signal | airflow | argo-workflows |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 14, 2026 · github_public_v1 | Very active (0d since push) As of Sep 3, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 14, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 3, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No published findings from this source as of 2026-07-11 As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- airflow
- A platform to programmatically author, schedule, and monitor workflows
- argo-workflows
- Workflow Engine for Kubernetes
Stars
- airflow
- 47k
- argo-workflows
- 17k
Forks
- airflow
- 18k
- argo-workflows
- 3.6k
Open issues
- airflow
- 2.1k
- argo-workflows
- 1.3k
Language
- airflow
- Python
- argo-workflows
- Go
Adopt for
- airflow
- Apache Airflow is a Python-based orchestrator for scheduling and monitoring workflows, suitable for tasks that require flexible DAG (Directed Acyclic Graph) definitions.
- 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.
Persona
- airflow
- -
- argo-workflows
- -
Runtime
- airflow
- -
- argo-workflows
- -
License
- airflow
- Apache-2.0
- argo-workflows
- Apache-2.0
Last pushed
- airflow
- Sep 14, 2026
- argo-workflows
- Sep 3, 2026
Categories
- airflow
- Developer Tools
- argo-workflows
- Developer Tools, Model Training
Trust and health
Open issues (now)
- airflow
- 2.1k
- argo-workflows
- 1.3k
Stars delta
- airflow
- +419 (30d)
- argo-workflows
- +89 (30d)
Open issues delta
- airflow
- +262 (30d)
- argo-workflows
- -52 (30d)
OSV dependency advisories
- airflow
- No lockfile (source not queried)
- argo-workflows
- No published findings from this source as of 2026-07-11
Full report
- airflow
- Trust report
- argo-workflows
- Trust report
Shared compatibility
- Python · airflow: Python runtime · argo-workflows: Python runtime
Choose airflow if…
- airflow is primarily Python; argo-workflows is Go.
- Tags unique to airflow: airflow, apache, automation, dag.
- If you need to model complex workflow dependency graphs with Directed Acyclic Graphs (DAGs).
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.
Choose argo-workflows if…
- argo-workflows is primarily Go; airflow is Python.
- Tags unique to argo-workflows: cloud-native, machine-learning, pipelines, workflow-engine.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (apache/airflow) · observed Sep 14, 2026
- GitHub forks (apache/airflow) · observed Sep 14, 2026
- Last push (apache/airflow) · observed Sep 14, 2026
- License file (Apache-2.0) · observed Sep 14, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (argoproj/argo-workflows) · observed Sep 3, 2026
- GitHub forks (argoproj/argo-workflows) · observed Sep 3, 2026
- Last push (argoproj/argo-workflows) · observed Sep 3, 2026
- License file (Apache-2.0) · observed Sep 3, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: airflow 47k · argo-workflows 17k (synced Sep 14, 2026).
Common questions
- What is the difference between airflow and argo-workflows?
- airflow: A platform to programmatically author, schedule, and monitor workflows. argo-workflows: Workflow Engine for Kubernetes. See the comparison table for live GitHub stats and shared categories.
- When should I choose airflow over argo-workflows?
- Choose airflow over argo-workflows when airflow is primarily Python; argo-workflows is Go; Tags unique to airflow: airflow, apache, automation, dag; If you need to model complex workflow dependency graphs with Directed Acyclic Graphs (DAGs).
- When should I choose argo-workflows over airflow?
- Choose argo-workflows over airflow when argo-workflows is primarily Go; airflow is Python; Tags unique to argo-workflows: cloud-native, machine-learning, pipelines, workflow-engine; Also covers Model Training; When orchestrating container-native workflows for tasks like machine learning or data processing on Kubernetes.
- 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 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
- Is airflow or argo-workflows more popular on GitHub?
- airflow has more GitHub stars (46,844 vs 16,956). Stars measure visibility, not whether either tool fits your constraints.
- Are airflow and argo-workflows open source?
- Yes - both are open-source projects on GitHub (airflow: Apache-2.0, argo-workflows: Apache-2.0).
- Where can I find alternatives to airflow or argo-workflows?
- GraphCanon lists graph-backed alternatives at airflow alternatives and argo-workflows alternatives (airflow markdown twin, argo-workflows 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, airflow or argo-workflows?
- airflow: Very active. argo-workflows: Very 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 airflow and argo-workflows?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: airflow trust report; argo-workflows trust report.