Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Open source
24 alternativesHow do Tpot and Feast compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Tpot | Feast |
|---|---|---|
| What it is | 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. |
| 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 Tpot and Feast.
Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
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The Datumbox framework is written in Java for developing machine learning and statistical applications.
The Feast project provides an open source feature store for AI and machine learning.