The Feast repository describes an open source feature store for AI and machine learning projects.
Open source
24 alternativesFeast
The Feast project provides an open source feature store for AI and machine learning.
About Feast
Feast is an open source feature store for machine learning that manages analytic data for model training and online inference. It provides an offline store for historical data, a low-latency online store for real-time prediction, and a feature server for serving pre-computed features through a single access layer that separates storage from retrieval.
It supports point-in-time correct feature retrieval for training datasets and CLI-based setup with incremental, time-ranged, or timestamp-free materialization. The web UI for exploring data is described as experimental.
Key features
- Manage offline store for historical data for training and batch scoring
- Manage low-latency online store for real-time prediction
- Serve pre-computed features online through feature server
- Generate point-in-time correct feature sets for training
- Abstract feature storage from retrieval with single access layer
- Materialize features incrementally, by time range, or without timestamps
Best for: ML platform teams and data scientists managing features for training and online inference.
Good for
- Open source feature store for machine learning
- Supports both historical batch use and low-latency online serving
- Provides Python SDK and CLI workflow for defining and applying features
Watch out for
- Web UI for exploring data is labeled as experimental
Feast at a glance
- Website
- github.com/gojek/feast
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Feast FAQ
How do I install Feast?
Install with pip install feast.
How do I create and register a feature repository?
Run feast init my_feature_repo, then run feast apply to register feature definitions.
How do I load feature values into the online store?
Use feast materialize-incremental with the current time, feast materialize with start and end timestamps, or feast materialize --disable-event-timestamp.
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