Home/Compare/clearml vs mlrun

Comparison

clearml vs mlrun

Verdict

Pick clearml if clearML is an MLOps LLMOps solution that streamlines AI workloads through comprehensive experiment management, data handling, pipeline orchestration, and model serving under one platform; pick mlrun if mLRun: Open-source MLOps platform for rapid ML application development integrated into CI/CD pipelines using Python.

Markdown twin · clearml alternatives · mlrun alternatives

GraphCanon updated 2w

clearml logo

clearml

clearml/clearml

6.8kpushed Jul 27, 2026
vs
mlrun logo

mlrun

mlrun/mlrun

1.7kpushed Aug 2, 2026

Trust & integrity

Signalclearmlmlrun
Maintenance
Active (7d since push)
As of 2w · github_public_v1
Very active (0d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
Published findings
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

clearml
MLOps/LLMOps solution for CI/CD in AI workloads
mlrun
MLOps Platform for Building and Managing Continuous ML Applications

Stars

clearml
6.8k
mlrun
1.7k

Forks

clearml
785
mlrun
315

Open issues

clearml
573
mlrun
110

Language

clearml
Python
mlrun
Python

Adopt for

clearml
ClearML is an MLOps LLMOps solution that streamlines AI workloads through comprehensive experiment management, data handling, pipeline orchestration, and model serving under one platform.
mlrun
MLRun: Open-source MLOps platform for rapid ML application development integrated into CI/CD pipelines using Python.

Persona

clearml
-
mlrun
-

Runtime

clearml
-
mlrun
-

License

clearml
Apache-2.0
mlrun
Apache-2.0

Last pushed

clearml
Jul 27, 2026
mlrun
Aug 2, 2026

Categories

clearml
Inference & Serving, Model Training
mlrun
Developer Tools, Inference & Serving, Model Training

Trust and health

Maintenance

clearml
Active (82%)
mlrun
Very active (96%)

Days since push

clearml
7d
mlrun
0d

Open issues (now)

clearml
573
mlrun
110

Full report

Choose clearml if…

  • Tags unique to clearml: ai, clearml, control, deep-learning.
  • When you require a single platform for managing experiments, orchestrating pipelines, and serving models in your AI projects
  • More GitHub stars (6.8k vs 1.7k) - visibility, not fit.

When NOT to use clearml

  • Avoid if you need deep support for languages other than Python since ClearML is primarily built around Python
  • Consider alternatives if your MLOps needs do not include a centralized orchestration platform, as ClearML emphasizes integrated solutions

Choose mlrun if…

  • Tags unique to mlrun: ci-cd, machine learning pipelines, mlops, serverless functions.
  • Also covers Developer Tools.
  • Requires seamless integration of ML workflows into existing CI/CD environments

When NOT to use mlrun

  • Lacks requirement for serverless function deployment with auto-scaling capabilities
  • CI/CD integration is not a priority or already fully catered to by alternative tools

Explore

Sources

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

GitHub stars on cards: clearml 6.8k · mlrun 1.7k (synced Aug 3, 2026).

Common questions

What is the difference between clearml and mlrun?
clearml: MLOps/LLMOps solution for CI/CD in AI workloads. mlrun: MLOps Platform for Building and Managing Continuous ML Applications. See the comparison table for live GitHub stats and shared categories.
When should I choose clearml over mlrun?
Choose clearml over mlrun when Tags unique to clearml: ai, clearml, control, deep-learning; When you require a single platform for managing experiments, orchestrating pipelines, and serving models in your AI projects; More GitHub stars (6.8k vs 1.7k) - visibility, not fit.
When should I choose mlrun over clearml?
Choose mlrun over clearml when Tags unique to mlrun: ci-cd, machine learning pipelines, mlops, serverless functions; Also covers Developer Tools; Requires seamless integration of ML workflows into existing CI/CD environments.
When should I avoid clearml?
Avoid if you need deep support for languages other than Python since ClearML is primarily built around Python Consider alternatives if your MLOps needs do not include a centralized orchestration platform, as ClearML emphasizes integrated solutions
When should I avoid mlrun?
Lacks requirement for serverless function deployment with auto-scaling capabilities CI/CD integration is not a priority or already fully catered to by alternative tools
Is clearml or mlrun more popular on GitHub?
clearml has more GitHub stars (6,805 vs 1,690). Stars measure visibility, not whether either tool fits your constraints.
Are clearml and mlrun open source?
Yes - both are open-source projects on GitHub (clearml: Apache-2.0, mlrun: Apache-2.0).
Where can I find alternatives to clearml or mlrun?
GraphCanon lists graph-backed alternatives at clearml alternatives and mlrun alternatives (clearml markdown twin, mlrun 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, clearml or mlrun?
clearml: Active. mlrun: 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 clearml and mlrun?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: clearml trust report; mlrun trust report.

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