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feast

feast-dev/feast

The Open Source Feature Store for AI/ML

GraphCanon updated Sep 28, 2026 · GitHub synced Sep 28, 2026

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7.3k stars1.5k forksLast push Sep 26, 2026 Python Apache-2.0

Decision brief

Feast, an open-source feature store for AI/ML, facilitates efficient management and retrieval of features used in machine learning models.

Good fit when

Use Feast when your project requires versioning of features to support experimentation and model evolution over time, as it allows you to seamlessly retrieve historical feature data.
Feast is ideal if you are working on a large scale with numerous ML projects and want a centralized repository for features to avoid duplication and ensure consistency.

Avoid when

Avoid Feast in scenarios where your project needs are minimal, such as smaller datasets or simpler projects that do not require the overhead of feature versioning or management.
Do not use Feast if you prefer a more generalized data storage solution without specific features geared towards ML feature management. Competitors might be better for broader data manipulation tasks.

Observed Jul 17, 2026 · Source: enrich:decision_facts

feast alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Very active (1d since push); As of Sep 28, 2026
Provenance: Not a fork · Organization account; As of Sep 28, 2026
Security (OSV): 38 low (38 low); As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install feast

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Feast is an open-source feature store designed to manage and retrieve features used in machine learning models.

Capability facts

CLI: CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 28, 2026
Languages: python
Source: github.language+pyproject.toml · Sep 28, 2026

Categories

Data & Retrieval

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 28, 2026)

pip install feast

Tags

big-data data-engineering data-quality data-science feature-store features machine-learning ml

README

1. Install Feast

For agents

This page has a .md twin and JSON over the API.

/tools/feast-dev-feast.md GET /api/graphcanon/tools/feast-dev-feast GET /api/graphcanon/graph?tool=feast-dev-feast

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