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ClearML vs Metaflow

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ClearML

7.4#1 in gpu cluster management softwareFrom $15 a month
Free planWebAPILinuxmacOS
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Metaflow

7.5#4 in ml experiment tracking softwareFree plan
Free planWebAPILinuxmacOS
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What both publish

FactClearMLMetaflow
IntegrationsThe integrations documentation lists PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Optuna, Hydra, TensorBoard, Matplotlib, and LangChain among supported integrations.Documented integrations include AWS Batch, AWS Step Functions, Kubernetes, Argo Workflows, and Apache Airflow.

ClearML plans

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

Metaflow plans

  • Open-source MetaflowFree

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 Metaflow if…

Metaflow is suited to data scientists and ML or AI engineers building workflows that may need scaling. It is less useful for simple notebook experiments without scaling or operational complexity needs.

Charts they share