The Feast project provides an open source feature store for AI and machine learning.
Open source
24 alternativesFeast
The Feast repository describes an open source feature store for AI and machine learning projects.
About Feast
Feast is an open source feature store for machine learning that manages existing infrastructure to prepare analytic data for model training and online inference. It manages an offline store for historical data for training and batch scoring, a low-latency online store for real-time prediction, and a feature server to serve pre-computed features online. It can generate point-in-time correct feature sets and provides a data access layer that separates feature storage from retrieval. Setup uses pip install with init and apply commands, and 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 to avoid data leakage
- Abstract feature storage from retrieval with single data access layer
- Materialize features to online store with incremental or full options
Best for: ML platform teams and data scientists who need consistent features for training and serving.
Good for
- Open source feature store for machine learning
- Supports both historical batch use and low-latency online use
- Provides point-in-time correct feature sets
Watch out for
- Web UI is labeled as experimental
Feast at a glance
- Website
- github.com/feast-dev/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
Feast alternatives
Tools and sites you could use instead, ranked by how closely they match.
Featureform turns existing data infrastructure into a virtual feature store.
Open source
24 alternatives
Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Open source
24 alternatives
TPOT uses genetic programming to optimize machine learning pipelines in Python.
Open source
24 alternatives
The Datumbox framework is written in Java for developing machine learning and statistical applications.
Open source
24 alternatives
MLRun provides an open-source MLOps platform for managing machine learning applications, pipelines, and CI/CD delivery.
Open source
24 alternativesPopular in AI Infrastructure & MLOps
Well-known listings from the same topic.
Guild AIguild.aiFlow AIflow-ai.comsystemprompt.iosystemprompt.ioKili Technologykili-technology.comAPI docsdocs.x.aiEyePop.aieyepop.ai
Feast FAQ
How do I install Feast?
Run pip install feast.
How do I create and register a feature repository?
Run feast init my_feature_repo and then feast apply to register feature definitions.
How do I load features into the online store?
Use feast materialize-incremental with the current time, or feast materialize with start and end timestamps.
Is something wrong or out of date?
Tell us and an editor will check it.
Own this website?
Claim this listing
Claim the listing and suggest updates yourself. An editor checks every claim first.