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Running AI at scale

Feast

A feature store that keeps the data machine-learning models use consistent between training and live use.

New this week

What it does

Machine-learning models learn from "features", prepared pieces of data such as a customer's average order size. Feast stores these features and serves the same ones both when a model is trained and when it makes live predictions.

It keeps historical data for training and a fast store for real-time use, and helps avoid a common mistake where future information leaks into training data.

It connects to existing data systems and has an experimental web interface for exploring your data.

Who it's for

Machine-learning platform teams and data engineers.

Can I use it without coding?

Developers only. It's a Python tool used from code and the command line. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
Runs on
Server, Cloud
Computer
Made for servers or data centres
Privacy
Runs on your own device: your data stays with you
API key
Not needed

Try it

Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?

Before you install

  • Only download from the official GitHub page. Copies with similar names exist for many popular projects.
  • License (Apache-2.0): Permissive: free to use, change and share, including for business.
  • More on staying safe