Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Open source
24 alternativesHow do Feast and Feathr compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Feast | Feathr |
|---|---|---|
| What it is | The Feast project provides an open source feature store for AI and machine learning. | Feathr provides enterprises with a platform for data engineering and AI workflows. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both Feast and Feathr.
Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Featureform turns existing data infrastructure into a virtual feature store.
TPOT uses genetic programming to optimize machine learning pipelines in Python.
PrimeHub offers an open-source platform for managing machine learning operations and workflows.
Use Aeromancy to build reproducible machine learning workflows and projects.
Deepchecks tests and validates machine learning models and data, covering workflows from research through production.