feast-dev/feast

The Open Source Feature Store for AI/ML

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/ 100
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Feast helps machine learning teams organize and serve data features for models. It takes raw historical data and transforms it into consistent, point-in-time correct feature sets, which can then be used for training new models or for real-time predictions. Data scientists and ML platform engineers use Feast to streamline their data pipelines and ensure data quality across model development and deployment.

6,793 stars. Used by 3 other packages. Actively maintained with 65 commits in the last 30 days. Available on PyPI.

Use this if you are building machine learning models and need a reliable way to manage, retrieve, and serve features consistently for both training and real-time inference.

Not ideal if your primary need is general data warehousing or data transformation for business intelligence, rather than specialized feature management for ML applications.

machine-learning-operations feature-engineering model-deployment data-science-workflow real-time-inference
Maintenance 22 / 25
Adoption 13 / 25
Maturity 25 / 25
Community 24 / 25

How are scores calculated?

Stars

6,793

Forks

1,248

Language

Python

License

Apache-2.0

Last pushed

Mar 12, 2026

Commits (30d)

65

Dependencies

30

Reverse dependents

3

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