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DataFreeOpen Source
FEAST
Open-source feature store for AI and ML
Apache-2.0
ABOUT
Teams often duplicate feature engineering logic across batch pipelines, online services, and experiments, which creates training-serving skew, stale features, and difficult point-in-time correctness bugs. Feast provides a central feature store so the same governed data definitions can be reused reliably across training, offline retrieval, and real-time inference.
INSTALL
pip install feastINTEGRATION GUIDE
1. Serve real-time recommendation features to AI or ranking systems
2. Reuse validated training features during online model inference
3. Power risk scoring and fraud detection with low-latency feature retrieval
4. Feed retrieval and personalization pipelines with governed business features
5. Backfill point-in-time correct datasets for model training and evaluation
TAGS
feature-storemlopsdata-pipelinesllmragonline-inferencetraining-data