feast

Feast addresses the challenge of managing and serving features for machine learning models, enabling engineers to streamline their workflows. This open source tool is particularly beneficial for ML/AI teams, as it provides a structured approach to feature storage and retrieval, ensuring data quality and consistency. With a steady growth of 239 stars over 96 days, Feast demonstrates stable community interest and indicates that it is a production-ready solution. However, it may not be the right choice for teams looking for a fully managed service or those with very specific feature engineering needs that require custom solutions.

Feast is a strong choice when teams need a reliable feature store that integrates well with existing data pipelines and supports scalable machine learning workflows. Teams should consider alternatives if they require a fully managed service or if their use case involves highly specialised feature engineering processes.

Feast is primarily used by data engineers and ML engineers who need to manage features for machine learning models effectively. It is commonly integrated into products and systems that involve data pipelines, real-time analytics, and AI-driven applications.

Latest commit: 2026-02-13. Over the past 97 days, this repository gained 239 stars (+3.7% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.