TPOT uses genetic programming to optimize machine learning pipelines in Python.
Open source
24 alternativesPolyaxon
vsFlexML
Polyaxon vs FlexML
How do Polyaxon and FlexML compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Polyaxon | FlexML |
|---|---|---|
| What it is | Polyaxon describes its repository as infrastructure for AI orchestration and control. | FlexML offers an easy to use and flexible automated machine learning library for Python. |
| 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 |
Other options to consider
Sites similar to both Polyaxon and FlexML.
The Feast repository describes an open source feature store for AI and machine learning projects.
Open source
24 alternatives
Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Open source
24 alternatives
The ChefBoost Python framework supports decision trees such as ID3, C4.5, CART, CHAID, regression trees, and ensemble methods.
Open source
24 alternatives
FLAML provides a fast Python library for automated machine learning and tuning.
Open source
24 alternatives
The Datumbox framework is written in Java for developing machine learning and statistical applications.
Open source
24 alternatives