The Feast repository describes an open source feature store for AI and machine learning projects.
Open source
24 alternativesFeast
vsFlexML
Feast vs FlexML
How do Feast and FlexML compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Feast | FlexML |
|---|---|---|
| What it is | The open source Feast feature store lets teams define, manage, discover, and serve features for machine learning. | FlexML offers an easy to use and flexible automated machine learning library for Python. |
| 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 |
Other options to consider
Sites similar to both Feast and FlexML.
TPOT uses genetic programming to optimize machine learning pipelines in Python.
Open source
24 alternatives
Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Open source
24 alternatives
The Feast project provides an open source feature store for AI and machine learning.
Open source
24 alternatives
The Datumbox framework is written in Java for developing machine learning and statistical applications.
Open source
24 alternatives
FLAML provides a fast Python library for automated machine learning and tuning.
Open source
24 alternatives