Machine Learning · head to head
ClearML vs Weights & Biases
ClearML
Machine Learning
Open-source MLOps platform for experiment tracking and orchestration
- From
- Free
- Rated
- -
Weights & Biases
Machine Learning
Developer tools for machine learning
- 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; Weights & Biases pricing can be prohibitive for large teams without enterprise discounts
- They diverge on capability: ClearML covers Remote execution, Weights & Biases covers Dataset versioning.
Where they differ
Only the attributes on which ClearML and Weights & Biases actually diverge.
| Attribute | ClearML | Weights & Biases |
|---|---|---|
| Pricing model | Open-source self-hosted, with paid hosted and enterprise tiers | Unknown |
| Platforms | Linux, macOS, Windows, Docker, Kubernetes | Web, Python SDK, REST API |
| Founded | Unknown | 2017 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning).
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
- Remote execution
- Data versioning
- Pipelines
Only in Weights & Biases
- Dataset versioning
- Model registry
- Hyperparameter sweeps
- Collaborative dashboards
- PyTorch
- TensorFlow
- Keras
- Hugging Face
Both cover
- Experiment tracking
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 Weights & Biases
- Moving training from laptops to shared GPU hardware without repackagingnot Weights & Biases
- Versioning datasets alongside the experiments that consumed themnot Weights & Biases
Weights & Biases
- Machine learningnot ClearML
- Data analysisnot ClearML
- Model trainingnot ClearML
- Predictive analyticsnot 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
Weights & Biases
- Pricing can be prohibitive for large teams without enterprise discounts
- Limited integrations compared to some competitors
- Dashboard customization options limited on lower plans
- Requires some setup and configuration knowledge
Pricing, plan by plan
ClearML
Free- Open sourceFree
- Experiment tracking
- Pipelines
- Self-hosted server
Weights & Biases
Free- FreeFree
- 5 model seats
- 5 GB storage
- 1 GB/month Weave ingestion
- Pro$60/month
- 10 seats
- 100 GB storage
- Private projects
- Teams$179/month
- Team collaboration
- Advanced analytics
- Dedicated support
Which should you pick?
Choose ClearML if
- You need remote execution.
- You want to start without paying.
- You work on Linux, macOS, Windows, Docker, Kubernetes.
- You also want data versioning.
Choose Weights & Biases if
- You need dataset versioning.
- You want to start without paying.
- You work on Web, Python SDK, REST API.
- You also want model registry.
Questions people ask
- Is ClearML or Weights & Biases better?
- Neither clearly leads. ClearML starts at Free and Weights & Biases at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ClearML or Weights & Biases?
- ClearML starts at Free and Weights & Biases at Free.
- Does ClearML or Weights & Biases run on more platforms?
- ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. Weights & Biases runs on Web, Python SDK, REST API.
- 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 Weights & Biases is typically brought in for.
- What can ClearML do that Weights & Biases cannot?
- ClearML covers Remote execution, Data versioning, Pipelines. Weights & Biases covers Dataset versioning, Model registry, Hyperparameter sweeps, Collaborative dashboards. Both handle Experiment tracking.
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.
Weights & Biases: Does Weights & Biases have a free plan?
Yes. The Free tier includes 5 model seats, 5 GB storage, and 1 GB/month Weave ingestion. Academic users get unlimited tracked hours, 200 GB storage, and 100 seats at no cost.
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.
Weights & Biases: What are the paid plans for Weights & Biases?
Pro starts at $60/month with 10 seats and 100 GB storage. Team plans start at $179/month. Enterprise pricing is custom.
SourceClearML: 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.
Weights & Biases: What machine learning features does W&B provide?
Weights & Biases captures hyperparameters, metrics, and model outputs automatically. Features include experiment tracking, interactive Reports for sharing findings, Artifacts for managing datasets and models, advanced hyperparameter sweeps, and model deployment tools.
SourceRelated pages
More on Weights & Biases
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