Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Open source
24 alternativesHow do DVC and Feast compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | DVC | Feast |
|---|---|---|
| What it is | Open-source version control system for Data Science and Machine Learning projects. Git-like experience to organize your data, models, and experiments. | The Feast repository describes an open source feature store for AI and machine learning projects. |
| Website | ||
| Type | Online tool | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Not recorded |
| Open source | Not stated | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both DVC 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.
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.
Polyaxon describes its repository as infrastructure for AI orchestration and control.