ClearML

ClearML is an open-source MLOps platform offering an end-to-end solution for managing the entire machine learning lifecycle. It is designed for teams automating ML workflows, providing comprehensive capabilities for experiment management, dataset versioning, and scalable model training pipelines.

Key features include automated experiment tracking to log, compare, and reproduce ML experiments seamlessly, robust dataset management with versioning ensuring data lineage and reproducibility.

ClearML supports workflow orchestration, enabling definition and automation of complex ML pipelines from data ingestion to model deployment. It helps teams collaborate, ensure model reproducibility, and efficiently transition models from research to production.

By offering a flexible, open-source platform, ClearML enables organizations to standardize ML workflows, improve model governance, and accelerate AI solution development and deployment at scale.