Description:
Containers for machine learning
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Type: Formula
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Latest Version: 0.16.9@0
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Tracked Since: Dec 17, 2025
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Links:
Homepage |
formulae.brew.sh
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Category: Ai ml
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Tags:
machine-learning
containers
mlops
reproducibility
oci
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Install:
brew install cog
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About:
Cog is an open-source tool that packages machine learning models as standard OCI containers. It eliminates environment complexity by encapsulating models, code, and dependencies into portable units. This enables reproducible builds and seamless deployment across platforms.
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Key Features:
- Automatically builds Docker images from Python environments
- Defines ML environments via a simple `cog.yaml` configuration
- Provides a local prediction API for testing models instantly
- Standardizes model packaging using OCI container format
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Use Cases:
- Packaging trained models for production deployment
- Reproducible ML experiments across different machines
- Serving models via HTTP APIs with automatic scaling
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Alternatives:
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BentoML
– Focuses on model serving frameworks, whereas Cog emphasizes standard containerization
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Docker
– Generic container tool requiring manual ML environment configuration
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