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SPECIFICTION
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ClearML vs Kedro

ClearML

clear.ml

Kedro

kedro.org

Side by side

FigureClearMLKedro
Price from$15/moFree
Free planYesYes
Free trial——
Open source——
WebYes—
WindowsYes—
macOSYes—
LinuxYesYes
APIYes—
Self-hostedYesYes
Plans published41
Spec score · Data Version Control Tools8.7 (#4)7.4 (#28)
IntegrationsThe integrations documentation lists PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Optuna, Hydra, TensorBoard, Matplotlib, and LangChain among supported integrations.Listed integrations include Amazon SageMaker, Apache Airflow, Apache Spark, Azure ML, Dask, Databricks, Docker, Jupyter Notebook, Kubeflow, MLflow, and VertexAI.
SupportScale includes private Slack channel support and an SLA, while Enterprise includes white-glove support with a custom SLA and professional services.The project points users to its community on Slack for technical questions and provides documentation and tutorials.

Plans

ClearML

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

ClearML pricing →

Kedro

  • KedroFree

Kedro pricing →

In their own words

ClearML

ClearML is an AI infrastructure platform organized into an Infrastructure Control Plane, AI Development Center, and GenAI App Engine. The Control Plane manages GPU resources across on-premises, cloud, and hybrid environments, including multi-tenant GPU-as-a-Service. The Development Center supports developing, training, testing, and deploying AI/ML models, with monitoring, pipelines, a model repository, and CI/CD integration. The GenAI App Engine deploys LLMs on compute clusters and provides networking, authentication, access control, and monitoring. Experiment tracking, comparisons, artifacts, metrics and plots, and Git version control integration appear across the listed tiers. Integrations include PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Optuna, Hydra, TensorBoard, Matplotlib, and LangChain; storage integrations include AWS S3, Azure, Google Storage, MinIO, and Backblaze B2. ClearML can be hosted on its servers, self-hosted, or provided as a managed service, with VPC, on-premises including air-gapped, and hybrid options. Community is free; Pro costs $15 a month per user plus usage. Scale and Enterprise pricing is by quote.

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Kedro

Kedro has no write-up on Specifiction yet; its figures are above.

Visit kedro.org