Feast
The Open Source Feature Store for Machine Learning
Feast is an open-source feature store that enables ML teams to define, manage, and serve features for both model training and real-time inference. It provides an offline store for historical feature extraction and an online store for low-latency serving in production systems. Feast integrates with existing data infrastructure and offers a Python SDK, CLI, and UI for feature management.
Feast connects to existing offline and online data stores, allows teams to define features via a Python SDK, and serves them consistently for model training and low-latency production inference.
ML platform engineers, MLOps engineers, data scientists, and data engineers building production AI/ML systems
Background.
- Status
- launched
- Business model
- open-source
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