Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Open source
24 alternativesHow do BudgetML and Datumbox compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | BudgetML | Datumbox |
|---|---|---|
| What it is | Deploy a ML inference service on a budget in less than 10 lines of code. | 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 BudgetML and Datumbox.
Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
TPOT uses genetic programming to optimize machine learning pipelines in Python.
MLRun provides an open-source MLOps platform for managing machine learning applications, pipelines, and CI/CD delivery.
FLAML provides a fast Python library for automated machine learning and tuning.
The goro project provides a high level machine learning library written for Go.
The Feast repository describes an open source feature store for AI and machine learning projects.