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Comparison

arthas vs modeldb

Verdict

Pick arthas when requirements: Min 1 GB RAM; pick modeldb when tags unique to modeldb: modeldb, model-versioning, verta, machine-learning.

Markdown twin · arthas alternatives · modeldb alternatives

GraphCanon updated today

arthas logo

arthas

alibaba/arthas

★ 37kpushed Jul 1, 2026
vs
modeldb logo

modeldb

VertaAI/modeldb

★ 1.7kpushed Jul 23, 2024

Trust & integrity

Signalarthasmodeldb
Maintenance
Active (10d since push)
As of today · github_public_v1
Dormant (718d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
65 low (65 low)
As of today · osv@v1
arthas trust reportmodeldb trust reportTrust methodology

Tagline

arthas
Alibaba Java Diagnostic Tool Arthas
modeldb
Open Source ML Model Versioning, Metadata, and Experiment Management

Stars

arthas
37k
modeldb
1.7k

Forks

arthas
7.6k
modeldb
289

Open issues

arthas
485
modeldb
194

Language

arthas
Java
modeldb
Java

Adopt for

arthas
Arthas is a Java diagnostic tool from Alibaba designed to monitor and troubleshoot running Java applications using features such as tracing, classloader analysis, and JVM diagnostics.
modeldb
-

Persona

arthas
-
modeldb
-

Runtime

arthas
-
modeldb
-

License

arthas
Apache-2.0
modeldb
Apache-2.0

Last pushed

arthas
Jul 1, 2026
modeldb
Jul 23, 2024

Categories

arthas
Developer Tools
modeldb
Developer Tools

Trust and health

Maintenance

arthas
Active (82%)
modeldb
Dormant (18%)

Days since push

arthas
10d
modeldb
718d

Open issues (now)

arthas
485
modeldb
194

Security scan

arthas
No lockfile
modeldb
65 low (65 low)

Full report

arthas
Trust report
modeldb
Trust report

Choose arthas if…

  • Requirements: Min 1 GB RAM.
  • Tags unique to arthas: diagnosis, jvm, trouble-shooting, agent.
  • arthas ships Docker support for self-hosted deployment.
  • Utilize Arthas for deep diagnostics on running Java applications where you need advanced features such as bytecode enhancement or specific trace capabilities over static analysis.

When NOT to use arthas

  • Avoid using Arthas if your primary need is for quick, surface-level diagnostics or performance tuning without diving into more advanced features.
  • Do not use Arthas if you are working in a development environment outside of Java where this specific diagnostic tool would provide no value.
GitHubDetails

Choose modeldb if…

  • Tags unique to modeldb: modeldb, model-versioning, verta, machine-learning.
  • Leaner open-issue backlog (194).

When NOT to use modeldb

  • Last GitHub push was 718 days ago (dormant maintenance, Jul 23, 2024). Validate activity before betting a new project on modeldb.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
GitHubDetails

Explore

arthas trust report →modeldb trust report →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: arthas 37k · modeldb 1.7k (synced Jul 11, 2026).

Common questions

What is the difference between arthas and modeldb?
arthas: Alibaba Java Diagnostic Tool Arthas. modeldb: Open Source ML Model Versioning, Metadata, and Experiment Management. See the comparison table for live GitHub stats and shared categories.
When should I choose arthas over modeldb?
Choose arthas over modeldb when Requirements: Min 1 GB RAM; Tags unique to arthas: diagnosis, jvm, trouble-shooting, agent; arthas ships Docker support for self-hosted deployment; Utilize Arthas for deep diagnostics on running Java applications where you need advanced features such as bytecode enhancement or specific trace capabilities over static analysis.
When should I choose modeldb over arthas?
Choose modeldb over arthas when Tags unique to modeldb: modeldb, model-versioning, verta, machine-learning; Leaner open-issue backlog (194).
When should I avoid arthas?
Avoid using Arthas if your primary need is for quick, surface-level diagnostics or performance tuning without diving into more advanced features. Do not use Arthas if you are working in a development environment outside of Java where this specific diagnostic tool would provide no value.
When should I avoid modeldb?
Last GitHub push was 718 days ago (dormant maintenance, Jul 23, 2024). Validate activity before betting a new project on modeldb. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Is arthas or modeldb more popular on GitHub?
arthas has more GitHub stars (37,427 vs 1,746). Stars measure visibility, not whether either tool fits your constraints.
Are arthas and modeldb open source?
Yes - both are open-source projects on GitHub (arthas: Apache-2.0, modeldb: Apache-2.0).
Where can I find alternatives to arthas or modeldb?
GraphCanon lists graph-backed alternatives at arthas alternatives and modeldb alternatives (arthas markdown twin, modeldb 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, arthas or modeldb?
arthas: Active. modeldb: 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 arthas and modeldb?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: arthas trust report; modeldb trust report.