The Feast project provides an open source feature store for AI and machine learning.
Open source
24 alternativesHow do Feast and Feast compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Feast | Feast |
|---|---|---|
| What it is | The open source Feast feature store lets teams define, manage, discover, and serve features for machine learning. | The Feast repository describes an open source feature store for AI and machine learning projects. |
| Website | ||
| Type | Online tool | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both Feast and Feast.
The Feast project provides an open source feature store for AI and machine learning.
Featureform turns existing data infrastructure into a virtual feature store.
Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
TPOT uses genetic programming to optimize machine learning pipelines in Python.
The Datumbox framework is written in Java for developing machine learning and statistical applications.
MLRun provides an open-source MLOps platform for managing machine learning applications, pipelines, and CI/CD delivery.