The Feast repository describes an open source feature store for AI and machine learning projects.
Featureform
Featureform turns existing data infrastructure into a virtual feature store.

About Featureform
Featureform is an open-source virtual feature store that sits atop existing data infrastructure and orchestrates it to work like a traditional feature store. It lets data scientists define, manage, and serve ML features, with standardized definitions for transformations, features, labels, and training sets. It provides a centralized feature repository with metadata such as name, variant, lineage, and owner, enforces immutability, and includes role-based access control, audit logs, and dynamic serving rules. Featureform is infrastructure-agnostic and offloads computation to existing data infrastructure, so it orchestrates and manages transformations rather than computing them.
Key features
- Defines, manages, and serves ML features atop existing data infrastructure.
- Standardizes transformations, features, labels, and training sets for sharing and reuse.
- Pushes notebook work to a centralized feature repository with name, variant, lineage, owner.
- Enforces immutability for features, labels, and training sets.
- Orchestrator handles retry logic and resolves common distributed system problems.
- Includes role-based access control, audit logs, and dynamic serving rules.
- Infrastructure-agnostic; does not replace existing data infrastructure.
- Offloads computation to existing infrastructure, acting as a framework and workflow.
- Enforces immutability and includes governance features like RBAC and audit logs.
- Requires existing data infrastructure; it orchestrates transformations but does not compute them.
- Users must still account for the transformation language of their underlying infrastructure.
Featureform at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Featureform FAQ
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