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Comparison

dagster vs prefect

Verdict

Pick dagster if dagster is an open-source orchestration platform developed in Python for managing and observing data pipelines and workflows; pick prefect if prefect is a Python-based workflow orchestration framework designed to create resilient data pipelines. It offers a straightforward approach to building and managing workflows using Python syntax.

Markdown twin · dagster alternatives · prefect alternatives

GraphCanon updated Sep 29, 2026

12views this month

dagster logo

dagster

dagster-io/dagster

★ 16kpushed Sep 11, 2026
vs
prefect logo

prefect

PrefectHQ/prefect

★ 24kpushed Sep 28, 2026

Trust & integrity

Signaldagsterprefect
Maintenance
Very active (2d since push)
As of Sep 14, 2026 · github_public_v1
Very active (0d since push)
As of Sep 29, 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 29, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 15, 2026 · osv@v1
No lockfile (source not queried)
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
dagster trust reportprefect trust reportTrust methodology

Tagline

dagster
An orchestration platform for data assets
prefect
Workflow orchestration framework for resilient data pipelines

Stars

dagster
16k
prefect
24k

Forks

dagster
2.3k
prefect
2.5k

Open issues

dagster
2.6k
prefect
853

Language

dagster
Python
prefect
Python

Adopt for

dagster
Dagster is an open-source orchestration platform developed in Python for managing and observing data pipelines and workflows.
prefect
Prefect is a Python-based workflow orchestration framework designed to create resilient data pipelines. It offers a straightforward approach to building and managing workflows using Python syntax.

Persona

dagster
-
prefect
-

Runtime

dagster
-
prefect
-

License

dagster
Apache-2.0
prefect
Apache-2.0

Last pushed

dagster
Sep 11, 2026
prefect
Sep 28, 2026

Categories

dagster
Data & Retrieval, Evaluation & Observability
prefect
Developer Tools

Trust and health

Days since push

dagster
2d
prefect
0d

Open issues (now)

dagster
2.6k
prefect
853

Stars delta

dagster
+195 (30d)
prefect
+406 (30d)

Open issues delta

dagster
-9 (30d)
prefect
+32 (30d)

Full report

dagster
Trust report
prefect
Trust report

Shared compatibility

  • Python · dagster: Python runtime · prefect: Python runtime

Choose dagster if…

  • Tags unique to dagster: data-orchestrator, etl, mlops, workflow.
  • Also covers Data & Retrieval, Evaluation & Observability.
  • When your project requires an Apache-2.0 licensed tool allowing broader reuse and modification of code.

When NOT to use dagster

  • If you are restricted to proprietary or non-open-source licenses, as Dagster's Apache-2.0 might not align with compliance requirements.
  • In environments where Python is not a preferred language, considering Dagster requires good knowledge of the Python ecosystem.
  • For teams that do not require or benefit from extensive documentation and hands-on tutorials for onboarding.
  • If specific features or integrations crucial to your workflow are found lacking in comparison to competitors.
GitHubDetails

Choose prefect if…

  • Pricing: Prefect is initially available under an open-source license (Apache-2.0), but commercial support options are also provided for users who require additional services or features..
  • Requirements: Requires Python 3.10+.
  • Tags unique to prefect: ml-ops, observability, workflow-engine.
  • Also covers Developer Tools.
  • prefect ships Docker support for self-hosted deployment.
  • - When your project relies on the latest features in Python, as Prefect supports Python 3.10+

When NOT to use prefect

  • - If your team is already deeply invested in another language for scripting or orchestrating data pipelines (for example, if you prefer a non-Python solution), Prefect might not be the right fit
  • - For projects where minimal overhead and quick setup are critical, as Prefect's setup requires installing specific dependencies and adhering to its Python-based framework
GitHubDetails

Explore

dagster trust report →prefect trust report →Data & Retrieval category →Evaluation & Observability category →Developer Tools category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: dagster 16k · prefect 24k (synced Sep 20, 2026).

Common questions

What is the difference between dagster and prefect?
dagster: An orchestration platform for data assets. prefect: Workflow orchestration framework for resilient data pipelines. See the comparison table for live GitHub stats and shared categories.
When should I choose dagster over prefect?
Choose dagster over prefect when Tags unique to dagster: data-orchestrator, etl, mlops, workflow; Also covers Data & Retrieval, Evaluation & Observability; When your project requires an Apache-2.0 licensed tool allowing broader reuse and modification of code.
When should I choose prefect over dagster?
Choose prefect over dagster when Pricing: Prefect is initially available under an open-source license (Apache-2.0), but commercial support options are also provided for users who require additional services or features.; Requirements: Requires Python 3.10+; Tags unique to prefect: ml-ops, observability, workflow-engine; Also covers Developer Tools; prefect ships Docker support for self-hosted deployment; - When your project relies on the latest features in Python, as Prefect supports Python 3.10+.
When should I avoid dagster?
If you are restricted to proprietary or non-open-source licenses, as Dagster's Apache-2.0 might not align with compliance requirements. In environments where Python is not a preferred language, considering Dagster requires good knowledge of the Python ecosystem. For teams that do not require or benefit from extensive documentation and hands-on tutorials for onboarding. If specific features or integrations crucial to your workflow are found lacking in comparison to competitors.
When should I avoid prefect?
- If your team is already deeply invested in another language for scripting or orchestrating data pipelines (for example, if you prefer a non-Python solution), Prefect might not be the right fit - For projects where minimal overhead and quick setup are critical, as Prefect's setup requires installing specific dependencies and adhering to its Python-based framework
Is dagster or prefect more popular on GitHub?
prefect has more GitHub stars (23,947 vs 16,144). Stars measure visibility, not whether either tool fits your constraints.
Are dagster and prefect open source?
Yes - both are open-source projects on GitHub (dagster: Apache-2.0, prefect: Apache-2.0).
Where can I find alternatives to dagster or prefect?
GraphCanon lists graph-backed alternatives at dagster alternatives and prefect alternatives (dagster markdown twin, prefect 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, dagster or prefect?
dagster: Very active. prefect: 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 dagster and prefect?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dagster trust report; prefect trust report.

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