awesome-mlops/awesome-feature-store

A curated list of awesome open source and commercial feature store tools and platforms 🚀

37
/ 100
Emerging

This list helps machine learning engineers and data scientists find the right tools to manage their data features for model training and deployment. It takes in raw data sources and helps you create, store, and serve consistent features for your machine learning models. The end-user is typically an ML engineer, data scientist, or MLOps specialist working on machine learning projects.

No commits in the last 6 months.

Use this if you need to compare different open-source and commercial solutions for managing features in your machine learning workflows.

Not ideal if you are looking for a tutorial or guide on how to build a feature store from scratch, as this is a list of existing tools.

machine-learning data-management model-deployment feature-engineering MLOps
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 15 / 25

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21

Forks

4

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License

Apache-2.0

Last pushed

Apr 20, 2022

Commits (30d)

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