Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Open source
24 alternativesHow do FLAML and Feathr compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | FLAML | Feathr |
|---|---|---|
| What it is | FLAML provides a fast Python library for automated machine learning and tuning. | Feathr provides enterprises with a platform for data engineering and AI workflows. |
| 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 FLAML and Feathr.
Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
TPOT uses genetic programming to optimize machine learning pipelines in Python.
PrimeHub offers an open-source platform for managing machine learning operations and workflows.
The ChefBoost Python framework supports decision trees such as ID3, C4.5, CART, CHAID, regression trees, and ensemble methods.
Use Aeromancy to build reproducible machine learning workflows and projects.
The Datumbox framework is written in Java for developing machine learning and statistical applications.