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Awesome GitHub RepositoriesFeature Definition Packages
Structuring shared feature definitions, entities, sources, and transformations into reusable Python packages within a project.
Distinct from Python Packages: Distinct from Python Packages: focuses on organizing ML feature definitions into packages, not general Python software distribution.
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Awesome Feature Definition Packages GitHub Repositories
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- feast-dev/feast
feast-dev/feast
6,727Ver en GitHubFeast is an open-source feature store for machine learning that provides a central platform for defining, storing, and serving features across both training and inference workflows. It operates as a declarative system where feature definitions are written as code in Python files, synchronized to a central registry, and made available for low-latency online retrieval or point-in-time correct historical joins for training datasets. The project abstracts storage behind a pluggable architecture, allowing offline and online backends to be swapped without changing retrieval logic, and coordinates ma
Structures shared feature definitions, entities, sources, and transformations into reusable Python packages within a project.
Pythonbig-datadata-engineeringdata-quality
