Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Open source
24 alternativesHow do Datumbox and Featureform compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Datumbox | Featureform |
|---|---|---|
| What it is | The Datumbox framework is written in Java for developing machine learning and statistical applications. | 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 Datumbox 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.
MLRun provides an open-source MLOps platform for managing machine learning applications, pipelines, and CI/CD delivery.
The goro project provides a high level machine learning library written for Go.
FLAML provides a fast Python library for automated machine learning and tuning.