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DVC

MLOps Free

DVC, or Data Version Control, is an open-source MLOps tool that brings Git-like version control to machine learning datasets, models, and experiments, enabling data science teams to track, reproduce, and share every experiment with full lineage from data to model artifact. It works alongside Git and supports remote storage backends including S3, GCS, Azure, and SSH for storing large binary files efficiently. ML researchers and data science teams use DVC to make their experiments reproducible, collaborate on model development without duplicating large datasets, and implement CI/CD practices for machine learning workflows.

💰 Pricing
Free
📂 Category
MLOps
🏷️ Tags
mlops, version-control, open-source
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