Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Open source
24 alternativesHow do MLRun and Feast compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | MLRun | Feast |
|---|---|---|
| What it is | MLRun provides an open-source MLOps platform for managing machine learning applications, pipelines, and CI/CD delivery. | The Feast repository describes an open source feature store for AI and machine learning projects. |
| 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 MLRun and Feast.
Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
TPOT uses genetic programming to optimize machine learning pipelines in Python.
The Datumbox framework is written in Java for developing machine learning and statistical applications.
FLAML provides a fast Python library for automated machine learning and tuning.
The Feast project provides an open source feature store for AI and machine learning.
ZenML provides a platform for machine learning pipelines and AI agents.