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ClearML vs Weights & Biases

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ClearML

7.4#1 in gpu cluster management softwareFrom $15 a month
Free planWebAPILinuxmacOS
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What both publish

FactClearMLWeights & Biases
Company headquartersClearML lists its global headquarters as 2288 Fulton St, Berkeley, California 94704, USA.LinkedIn lists headquarters at 400 Alabama Street, San Francisco, California 94110, United States.
Experiment trackingThe pricing page lists experiment tracking, comparisons, artifacts, metrics and plots, and Git version control integration across Open Source, Free/Pro, and Scale/Enterprise tiers.The platform automatically records machine-learning pipeline details and provides contextual visual analysis.
HeadquartersBerkeley, California, USASan Francisco, California, United States
IntegrationsThe integrations documentation lists PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Optuna, Hydra, TensorBoard, Matplotlib, and LangChain among supported integrations.W&B is designed to integrate with customers' ML stacks and tools and offers managed or self-managed deployment choices.
ProductClearML describes its AI infrastructure platform as three layers: Infrastructure Control Plane, AI Development Center, and GenAI App Engine.Weights & Biases describes itself as an AI developer platform for building AI agents, applications, and models.
SupportScale includes private Slack channel support and an SLA, while Enterprise includes white-glove support with a custom SLA and professional services.Support tiers are Standard, Standard Plus and Premium; Premium adds 24/7 coverage, faster response targets, roadmap sessions and engineering access.

ClearML plans

  • CommunityFree
  • Pro$15 a month
  • EnterprisePriced on request
  • ScalePriced on request

Weights & Biases plans

  • FreeFree
  • PersonalFree
  • Pro$60 a month
  • Advanced EnterprisePriced on request
  • EnterprisePriced on request

Pick ClearML if…

ClearML suits AI and machine-learning teams that need experiment management and model development tools alongside GPU resource management. Its hosting choices may also suit teams with self-hosted, VPC, on-premises, or hybrid requirements.

Pick Weights & Biases if…

It suits AI developers working on model training, fine-tuning, AI applications, or production monitoring. The free tier may fit smaller projects, while larger teams should note the stated Pro-to-Enterprise transition guideline.

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