Comparison
dolphinscheduler vs argo-workflows
Verdict
Pick dolphinscheduler if apache DolphinScheduler is a modern data orchestration platform designed for efficient task dependency handling in data pipelines and provides low-code workflow creation; 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 · dolphinscheduler alternatives · argo-workflows alternatives
GraphCanon updated Sep 14, 2026
12views this month
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Trust & integrity
| Signal | dolphinscheduler | argo-workflows |
|---|---|---|
| Maintenance | Very active (2d 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
- dolphinscheduler
- A modern data orchestration platform for agile workflow creation with low-code
- argo-workflows
- Workflow Engine for Kubernetes
Stars
- dolphinscheduler
- 14k
- argo-workflows
- 17k
Forks
- dolphinscheduler
- 5.1k
- argo-workflows
- 3.6k
Open issues
- dolphinscheduler
- 132
- argo-workflows
- 1.3k
Language
- dolphinscheduler
- Java
- argo-workflows
- Go
Adopt for
- dolphinscheduler
- Apache DolphinScheduler is a modern data orchestration platform designed for efficient task dependency handling in data pipelines and provides low-code workflow creation.
- 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
- dolphinscheduler
- -
- argo-workflows
- -
Runtime
- dolphinscheduler
- -
- argo-workflows
- -
License
- dolphinscheduler
- Apache-2.0
- argo-workflows
- Apache-2.0
Last pushed
- dolphinscheduler
- Sep 12, 2026
- argo-workflows
- Sep 3, 2026
Categories
- dolphinscheduler
- Developer Tools
- argo-workflows
- Developer Tools, Model Training
Trust and health
Days since push
- dolphinscheduler
- 2d
- argo-workflows
- 0d
Open issues (now)
- dolphinscheduler
- 132
- argo-workflows
- 1.3k
Stars delta
- dolphinscheduler
- +57 (30d)
- argo-workflows
- +89 (30d)
Open issues delta
- dolphinscheduler
- -5 (30d)
- argo-workflows
- -52 (30d)
OSV dependency advisories
- dolphinscheduler
- No lockfile (source not queried)
- argo-workflows
- No published findings from this source as of 2026-07-11
Full report
- dolphinscheduler
- Trust report
- argo-workflows
- Trust report
Shared compatibility
- Python · dolphinscheduler: Python runtime · argo-workflows: Python runtime
Choose dolphinscheduler if…
- dolphinscheduler is primarily Java; argo-workflows is Go.
- Tags unique to dolphinscheduler: airflow, azkaban, data-pipelines, job-scheduler.
- You require extensive support for complex task dependencies within your data pipelines, as Dolphinscheduler is built to handle these scenarios out of the box.
When NOT to use dolphinscheduler
- If your organization has stringent licensing constraints that restrict the use of Apache-2.0 licensed software
- Your workflows are relatively simple and do not require advanced features such as versioning for both workflows and instances, multi-tenancy support or backfill capability.
- You prefer a tool that is primarily script-driven over one with extensive SDKs and APIs; Dolphinscheduler emphasizes its Web UI for ease of use along with Python SDKs and Open APIs.
Choose argo-workflows if…
- argo-workflows is primarily Go; dolphinscheduler is Java.
- Tags unique to argo-workflows: machine-learning, mlops, pipelines, workflow-engine.
- 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 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/dolphinscheduler) · observed Sep 14, 2026
- GitHub forks (apache/dolphinscheduler) · observed Sep 14, 2026
- Last push (apache/dolphinscheduler) · observed Sep 12, 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: dolphinscheduler 14k · argo-workflows 17k (synced Sep 14, 2026).
Common questions
- What is the difference between dolphinscheduler and argo-workflows?
- dolphinscheduler: A modern data orchestration platform for agile workflow creation with low-code. argo-workflows: Workflow Engine for Kubernetes. See the comparison table for live GitHub stats and shared categories.
- When should I choose dolphinscheduler over argo-workflows?
- Choose dolphinscheduler over argo-workflows when dolphinscheduler is primarily Java; argo-workflows is Go; Tags unique to dolphinscheduler: airflow, azkaban, data-pipelines, job-scheduler; You require extensive support for complex task dependencies within your data pipelines, as Dolphinscheduler is built to handle these scenarios out of the box.
- When should I choose argo-workflows over dolphinscheduler?
- Choose argo-workflows over dolphinscheduler when argo-workflows is primarily Go; dolphinscheduler is Java; Tags unique to argo-workflows: machine-learning, mlops, pipelines, workflow-engine; 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 avoid dolphinscheduler?
- If your organization has stringent licensing constraints that restrict the use of Apache-2.0 licensed software Your workflows are relatively simple and do not require advanced features such as versioning for both workflows and instances, multi-tenancy support or backfill capability. You prefer a tool that is primarily script-driven over one with extensive SDKs and APIs; Dolphinscheduler emphasizes its Web UI for ease of use along with Python SDKs and Open APIs.
- 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 dolphinscheduler or argo-workflows more popular on GitHub?
- argo-workflows has more GitHub stars (16,956 vs 14,469). Stars measure visibility, not whether either tool fits your constraints.
- Are dolphinscheduler and argo-workflows open source?
- Yes - both are open-source projects on GitHub (dolphinscheduler: Apache-2.0, argo-workflows: Apache-2.0).
- Where can I find alternatives to dolphinscheduler or argo-workflows?
- GraphCanon lists graph-backed alternatives at dolphinscheduler alternatives and argo-workflows alternatives (dolphinscheduler 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, dolphinscheduler or argo-workflows?
- dolphinscheduler: 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 dolphinscheduler and argo-workflows?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dolphinscheduler trust report; argo-workflows trust report.