Description:
Git for data science projects
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Type: Formula
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Latest Version: 3.64.2@1
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Tracked Since: Dec 17, 2025
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Links:
Homepage |
@dvcorg |
formulae.brew.sh
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Category: Ai ml
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Tags:
ml
data-versioning
git
devops
mlops
reproducibility
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Install:
brew install dvc
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About:
DVC (Data Version Control) is an open-source version control system for machine learning projects. It allows data scientists to version and share datasets, models, and metrics without leaving Git workflows. The tool manages data storage on cloud services like S3, Azure, and GCP while keeping Git repositories lightweight.
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Key Features:
- Version control for datasets and ML models
- Seamless Git integration for ML pipelines
- Multi-cloud storage support (S3, Azure, GCP, etc.)
- Reproducible pipelines and experiments
- GitOps-style ML lifecycle management
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Use Cases:
- Versioning large datasets in machine learning projects
- Reproducing ML experiments and pipelines
- Collaborating on data science projects with Git
- Managing model lifecycle and deployment
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Alternatives:
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Git LFS
– Git LFS handles large files but lacks ML-specific features like pipeline tracking and metrics visualization
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MLflow
– MLflow focuses more on experiment tracking and model registry, while DVC emphasizes data versioning and GitOps
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