w0rng/gofeat
Embedded feature store for Go
This project helps Go developers build real-time fraud detection systems and machine learning pipelines. It takes streams of event data, like customer transactions, and calculates critical metrics such as transaction velocity or unique card ratios instantly. The output is a set of pre-computed features ready for immediate use in fraud scoring or ML model predictions.
Use this if you are a Go developer building an application that needs fast, embedded real-time feature computation for fraud detection or ML, without relying on external databases or complex infrastructure.
Not ideal if you need to share features across many different services, require petabyte-scale feature storage, or need enterprise-level support for a large organization.
Stars
8
Forks
—
Language
Go
License
MIT
Category
Last pushed
Jan 09, 2026
Commits (30d)
0
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