Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Open source
24 alternativesHow do ormb and Datumbox compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | ormb | Datumbox |
|---|---|---|
| What it is | ORMB packages machine learning models as OCI artifacts, in a workflow described as Docker for ML models. | The Datumbox framework is written in Java for developing machine learning and statistical applications. |
| 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 ormb and Datumbox.
Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
This Docker-based starter kit provides a runtime for machine learning work in Jupyter notebooks.
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.