feast

The Open Source Feature Store for AI/ML

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Builder

feast-dev

feast-dev • individual

Stars

6,878

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Forks

1,263

Using upstream fork count

Open Issues

Activity Score

0/100

0 commits in 30d

Created

Dec 10, 2018

Project creation date

README Summary

Feast is an open-source feature store designed to serve machine learning features for training and inference at scale. It provides a unified interface to store, discover, and serve features across batch and real-time data sources with support for multiple data warehouses and online stores. The platform enables ML teams to share and reuse features while ensuring consistency between training and serving environments.

AI Dev Skills

Unmapped

Tags

Feature EngineeringMLOps InfrastructureReal-time ML ServingBatch Feature ProcessingML Pipeline ManagementData Warehouse IntegrationStream ProcessingFeature Store ArchitectureML Model DeploymentData Engineering for MLTransportationData Pipeline ManagementFinTechFeature StoresFraud DetectionML Model ServingML Model TrainingData-Centric AIServerlessData VersioningDynamic PricingModel Training PipelineFeature MonitoringReal-time Feature ServingTabularCloud APIReal-time Recommendation SystemsTime SeriesA/B Testing Feature ManagementPersonalizationML InfrastructureKubernetesReal-time MLOn-premiseSelf-hostedHealthcareRisk ScoringFeature Consistency Across EnvironmentsMLOpsE-commerceAdTechMedia & EntertainmentStreaming DataPython

Recent Activity

Updated 24 days ago

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Quality

production

Quality: high
Maturity: production

PM Skills

Scale & ReliabilityDeveloper Platform

Languages

Python100.0%

Timeline

Project created: Dec 10, 2018
Forked: Mar 22, 2026
Your last push: 24 days ago
Upstream last push: 6 days ago
Tracked since: Mar 20, 2026

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