GraphCanon
Home/Compare/dagster vs starwhale

Comparison

dagster vs starwhale

Verdict

Pick dagster if dagster is an open-source orchestration platform developed in Python for managing and observing data pipelines and workflows; pick starwhale if starwhale is an MLOps/LLMOps platform that focuses on model management for AI and large language models through various runtime setups.

Markdown twin · dagster alternatives · starwhale alternatives

GraphCanon updated Sep 20, 2026

18views this month

dagster logo

dagster

dagster-io/dagster

★ 16kpushed Sep 11, 2026
vs
starwhale logo

starwhale

star-whale/starwhale

★ 235pushed Dec 20, 2024

Trust & integrity

Signaldagsterstarwhale
Maintenance
Very active (2d since push)
As of Sep 14, 2026 · github_public_v1
Dormant (622d 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 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 reportstarwhale trust reportTrust methodology

Tagline

dagster
An orchestration platform for data assets
starwhale
an MLOps/LLMOps platform

Stars

dagster
16k
starwhale
235

Forks

dagster
2.3k
starwhale
37

Open issues

dagster
2.6k
starwhale
120

Language

dagster
Python
starwhale
Java

Adopt for

dagster
Dagster is an open-source orchestration platform developed in Python for managing and observing data pipelines and workflows.
starwhale
Starwhale is an MLOps/LLMOps platform that focuses on model management for AI and large language models through various runtime setups.

Persona

dagster
-
starwhale
-

Runtime

dagster
-
starwhale
-

License

dagster
Apache-2.0
starwhale
Starwhale uses the Apache License 2.0, which is permissive and allows for usage in both open source and commercial applications with attribution.

Last pushed

dagster
Sep 11, 2026
starwhale
Dec 20, 2024

Categories

dagster
Data & Retrieval, Evaluation & Observability
starwhale
Data & Retrieval, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training

Trust and health

Maintenance

dagster
Very active (96%)
starwhale
Dormant (18%)

Days since push

dagster
2d
starwhale
622d

Open issues (now)

dagster
2.6k
starwhale
120

Stars delta

dagster
+195 (30d)
starwhale
-2 (30d)

Open issues delta

dagster
-9 (30d)
starwhale
0 (30d)

Full report

dagster
Trust report
starwhale
Trust report

Choose dagster if…

  • dagster is primarily Python; starwhale is Java.
  • Tags unique to dagster: data-engineering, data-orchestrator, etl, mlops.
  • 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 starwhale if…

  • starwhale is primarily Java; dagster is Python.
  • Requirements: Requires Docker; Supports runtime builds through Docker images for compatibility across various system environments..
  • Tags unique to starwhale: ai, cloud-native, dataset, datastore.
  • Also covers Inference & Serving, LLM Frameworks, Model Training.
  • When the need arises to manage models across different runtimes, including local environment configurations via runtime.yaml or conda environments, Docker images, or shell commands.

When NOT to use starwhale

  • In scenarios where an exclusive user preference leans towards Python-based operations over Java and the tool's CLI interactions do not meet operational demands.
  • For teams that require real-time model serving and have strict latency requirements, as Starwhale may not optimize for such use cases beyond its MLOps capabilities.
GitHubDetails

Explore

dagster trust report →starwhale trust report →Data & Retrieval category →Evaluation & Observability category →Inference & Serving category →LLM Frameworks category →Model Training 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 · starwhale 235 (synced Sep 20, 2026).

Common questions

What is the difference between dagster and starwhale?
dagster: An orchestration platform for data assets. starwhale: an MLOps/LLMOps platform. See the comparison table for live GitHub stats and shared categories.
When should I choose dagster over starwhale?
Choose dagster over starwhale when dagster is primarily Python; starwhale is Java; Tags unique to dagster: data-engineering, data-orchestrator, etl, mlops; When your project requires an Apache-2.0 licensed tool allowing broader reuse and modification of code.
When should I choose starwhale over dagster?
Choose starwhale over dagster when starwhale is primarily Java; dagster is Python; Requirements: Requires Docker; Supports runtime builds through Docker images for compatibility across various system environments.; Tags unique to starwhale: ai, cloud-native, dataset, datastore; Also covers Inference & Serving, LLM Frameworks, Model Training; When the need arises to manage models across different runtimes, including local environment configurations via runtime.yaml or conda environments, Docker images, or shell commands.
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 starwhale?
In scenarios where an exclusive user preference leans towards Python-based operations over Java and the tool's CLI interactions do not meet operational demands. For teams that require real-time model serving and have strict latency requirements, as Starwhale may not optimize for such use cases beyond its MLOps capabilities.
Is dagster or starwhale more popular on GitHub?
dagster has more GitHub stars (16,144 vs 235). Stars measure visibility, not whether either tool fits your constraints.
Are dagster and starwhale open source?
Yes - both are open-source projects on GitHub (dagster: Apache-2.0, starwhale: Apache-2.0).
Where can I find alternatives to dagster or starwhale?
GraphCanon lists graph-backed alternatives at dagster alternatives and starwhale alternatives (dagster markdown twin, starwhale 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 starwhale?
dagster: Very active. starwhale: Dormant. 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 starwhale?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dagster trust report; starwhale trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.