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ClearML is an open-source MLOps platform that helps organizations track experiments, manage datasets, and orchestrate pipelines. It provides dashboards, automation, and integrations with ML frameworks, making it ideal for reproducibility and scalable AI

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ClearML is an open-source MLOps platform that helps teams with experiment tracking, dataset versioning, and pipeline orchestration. It provides end-to-end workflow management for machine learning projects, making it easier for data scientists, ML engineers, and enterprises to collaborate and scale AI development.

They offer experiment dashboards, dataset management, automation pipelines, and integrations with ML frameworks like PyTorch, TensorFlow, and Scikit-learn, alongside features for cloud autoscaling, hyperparameter optimization, and enterprise-grade compliance. ClearML also supports multi-user collaboration, secure infrastructure, and on-premise or cloud deployment. These capabilities help organizations accelerate experimentation, improve reproducibility, and streamline ML lifecycle management.

And the best part? ClearML provides a forever free Community plan with core features, plus a 5‑day free trial via AWS Marketplace for enterprise deployment. Paid plans unlock advanced scalability, managed hosting, and dedicated support.

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Free Usage Policy5 Days Free Trial
Paid Upgrade Option? Yes (starting $15/month)
Tool Release Year2016
Founded byMoses Guttman
Employees11-50
LocationTel Aviv, Israel
Social media presence
Popularity Index8.0
Main FeaturesExperiment tracking, dataset versioning, pipelines, autoscaling, hyperparameter optimization, compliance
Best Used ForManaging ML workflows and scaling MLOps pipelines

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