Machine Learning · head to head
ClearML vs Eclipse

ClearML
Machine Learning
Open-source MLOps platform for experiment tracking and orchestration
- From
- Free
- Rated
- -

Eclipse
Technology
The Eclipse Foundation - home to a global community
- From
- Free
- Rated
- -
The short version
- Each has a real cost: ClearML broad scope means more to learn and more to run than a focused tracking tool; Eclipse high memory consumption and CPU usage, especially with multiple plugins installed
- They diverge on capability: ClearML covers Experiment tracking, Eclipse covers Java development environment.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which ClearML and Eclipse actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in ClearML
- Experiment tracking
- Remote execution
- Data versioning
- Pipelines
Only in Eclipse
- Java development environment
- Extensible plugin architecture
- Integrated debugger
- Code refactoring
- Version control integration
- Build automation
- Multi-language support
- Rich client platform
What people use each for
The jobs each tool is most often brought in to do.
ClearML
- Tracking experiments across a team so results are reproduciblenot Eclipse
- Moving training from laptops to shared GPU hardware without repackagingnot Eclipse
- Versioning datasets alongside the experiments that consumed themnot Eclipse
Eclipse
- Java application developmentnot ClearML
- Enterprise software developmentnot ClearML
- Web application developmentnot ClearML
- Plugin developmentnot ClearML
- Educational programmingnot ClearML
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
ClearML
- Broad scope means more to learn and more to run than a focused tracking tool
- Self-hosting the server is real infrastructure — database, file storage and web server
- Documentation quality is uneven across the newer parts of the platform
- Smaller community than the most popular tracking tools, so fewer worked examples exist
Eclipse
- High memory consumption and CPU usage, especially with multiple plugins installed
- Slow startup times and performance degradation with large projects or many open editors
- Requires configuration of eclipse.ini file to optimize heap sizes for adequate performance
- User interface considered outdated compared to modern IDE alternatives
- User base fell from 39% of Java developers in 2024 to 28% in 2025, indicating market decline
Pricing, plan by plan
ClearML
Free- Open sourceFree
- Experiment tracking
- Pipelines
- Self-hosted server
Eclipse
FreeNo published plan breakdown. See the Eclipse review.
Which should you pick?
Choose ClearML if
- You need experiment tracking.
- You want to start without paying.
- You work on Linux, macOS, Windows, Docker, Kubernetes.
- You also want remote execution.
Choose Eclipse if
- You need java development environment.
- You want to start without paying.
- You work on Windows, macOS, Linux.
- You also want extensible plugin architecture.
Questions people ask
- Is ClearML or Eclipse better?
- Neither clearly leads. ClearML starts at Free and Eclipse at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ClearML or Eclipse?
- ClearML starts at Free and Eclipse at Free.
- Does ClearML or Eclipse run on more platforms?
- ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. Eclipse runs on Windows, macOS, Linux.
- Can I use ClearML for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is ClearML best used for?
- ClearML is most often used for tracking experiments across a team so results are reproducible, moving training from laptops to shared gpu hardware without repackaging, versioning datasets alongside the experiments that consumed them. Of those, tracking experiments across a team so results are reproducible and moving training from laptops to shared gpu hardware without repackaging are not what Eclipse is typically brought in for.
- What can ClearML do that Eclipse cannot?
- ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines. Eclipse covers Java development environment, Extensible plugin architecture, Integrated debugger, Code refactoring.
Answered from the vendors’ own pages
ClearML: Is ClearML free?
The open-source version is free and self-hostable. Hosted and enterprise tiers are paid.
Eclipse: How much does Eclipse IDE cost?
Eclipse IDE is completely free and open-source, released under the Eclipse Public License 2.0.
SourceClearML: How much code does tracking require?
Very little — adding a couple of lines to an existing training script captures parameters, metrics and environment automatically.
ClearML: Does ClearML replace MLflow?
It covers MLflow’s tracking and adds orchestration, remote execution and data versioning. Whether that breadth is an advantage or extra weight depends on whether you need the rest.
Related pages
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- Eclipse vs JetBrains IntelliJ IDEA
- Eclipse vs Docker
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- Eclipse vs Postgres
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- Eclipse vs Okta
- Eclipse vs Kubernetes
- Eclipse vs PostHog
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