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Feast

MLOps Free

Feast is an open-source feature store for machine learning that provides a centralized repository for defining, storing, discovering, and serving features consistently between model training and production inference, eliminating the training-serving skew that causes production model degradation. It supports multiple online and offline store backends and integrates with major ML frameworks and orchestration tools to serve features at low latency in production. ML engineering teams building production ML systems use Feast to solve the feature consistency problem that undermines model reliability when features are computed differently during training versus serving.

💰 Pricing
Free
📂 Category
MLOps
🏷️ Tags
mlops, feature-store, open-source
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