1. Home
2. Data Stores
3. Feature Stores
4. Feathr

Feathr

A feature stored developed at LinkedIn. It uses a custom expression language to define expressions for features, which are evaluated using Spark. There are multiple options for offline and online storage.

Logo
Website	https://linkedin.github.io/feathr/
Repository	https://github.com/linkedin/feathr
Byline	An Enterprise-Grade, High Performance Feature Store
License	Apache 2.0
Project age	0 years 9 months
Backers	LinkedIn (Creator and maintainer)
Lastest News (2022-07-29)	0.6.0 Improved Deployment experience, containerized UI and backend in one simple container, support for Azure SQL as registry backend … more
Size score (1 to 10, higher is better)	4.0
Trend score (1 to 10, higher is better)	7.25

Education Resources

No recent documentation available for project.

Git Commit Statistics

Statistics computed using Git data through November 30, 2022.

Statistic	Lifetime	Last 12 Months
Commits	3,854	3,854
Lines committed	2,789,500	2,789,500
Unique committers	36	36
Core committers	12	12

Similar Projects

Project	Size Score	Trend Score	Byline
Butterfree	1.75	2.5	A tool for building feature stores.
ByteHub	1.5	3.0	Making feature stores simple
Feast	6.25	6.75	Feature Store for Machine Learning