Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Open source
24 alternativesHow do Deepchecks and Featureform compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Deepchecks | Featureform |
|---|---|---|
| What it is | Deepchecks tests and validates machine learning models and data, covering workflows from research through production. | Featureform turns existing data infrastructure into a virtual feature store. |
| 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 Deepchecks and Featureform.
Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
TPOT uses genetic programming to optimize machine learning pipelines in Python.
The Feast repository describes an open source feature store for AI and machine learning projects.
The Datumbox framework is written in Java for developing machine learning and statistical applications.
PrimeHub offers an open-source platform for managing machine learning operations and workflows.
Evidently evaluates, tests, and monitors machine learning systems and data pipelines.