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 2w
Trust & integrity
| Signal | dagster | prefect |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- dagster
- An orchestration platform for data assets
- prefect
- Workflow orchestration framework for resilient data pipelines
Stars
- dagster
- 16k
- prefect
- 24k
Forks
- dagster
- 2.2k
- prefect
- 2.4k
Open issues
- dagster
- 2.6k
- prefect
- 821
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
- Aug 9, 2026
- prefect
- Aug 3, 2026
Categories
- dagster
- Data & Retrieval, Evaluation & Observability
- prefect
- Developer Tools
Trust and health
Open issues (now)
- dagster
- 2.6k
- prefect
- 821
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.
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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dagster-io/dagster) · observed Aug 10, 2026
- GitHub forks (dagster-io/dagster) · observed Aug 10, 2026
- Last push (dagster-io/dagster) · observed Aug 9, 2026
- License file (Apache-2.0) · observed Aug 10, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (PrefectHQ/prefect) · observed Aug 3, 2026
- GitHub forks (PrefectHQ/prefect) · observed Aug 3, 2026
- Last push (PrefectHQ/prefect) · observed Aug 3, 2026
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dagster 16k · prefect 24k (synced Aug 10, 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 (23,541 vs 15,949). 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.