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Developer ToolsAlternative to HopsworksAlternative to TectonAlternative to SageMaker Feature Store

Feast

Open-source feature store for production machine learning and real-time inference.

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LicenseApache-2.0
GitHub stars5.5k
Last commit1 weeks ago
Tags5 topics
Feature StoreMlops InfrastructurePython FeastPoint In Time JoinsDeveloper Tools
Overview

Why consider Feast?

Feast (Feature Store) is an open-source feature store for machine learning written in Python and Go by the Linux Foundation. Feast bridges batch training datasets with low-latency online key-value stores (Redis, DynamoDB), avoiding train/serve data skew and ensuring point-in-time correctness.

Guided learning

Learn Feast by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Feast

Feast serves real-time predictive features to online inference microservices with point-in-time consistency.

Quickstart

bash
1pip install feast
2feast init feature_repo
3feast apply

Feast is licensed under the Apache License Version 2.0.

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Feast FAQs

Feast is listed as a Developer Tools tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Feast is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Feast is listed as an alternative to Hopsworks. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.