Related

⚠️ Warning

This documentation is for the archived version of TPOT, which is no longer maintained. For the latest version, click here.

Other Automated Machine Learning (AutoML) tools and related projects:

Name	Language	License	Description
Auto-WEKA	Java	GPL-v3	Automated model selection and hyper-parameter tuning for Weka models.
auto-sklearn	Python	BSD-3-Clause	An automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
auto_ml	Python	MIT	Automated machine learning for analytics & production. Supports manual feature type declarations.
H2O AutoML	Java with Python, Scala & R APIs and web GUI	Apache 2.0	Automated: data prep, hyperparameter tuning, random grid search and stacked ensembles in a distributed ML platform.
devol	Python	MIT	Automated deep neural network design via genetic programming.
MLBox	Python	BSD-3-Clause	Accurate hyper-parameter optimization in high-dimensional space with support for distributed computing.
Recipe	C	GPL-v3	Machine-learning pipeline optimization through genetic programming. Uses grammars to define pipeline structure.
Xcessiv	Python	Apache 2.0	A web-based application for quick, scalable, and automated hyper-parameter tuning and stacked ensembling in Python.
GAMA	Python	Apache 2.0	Machine-learning pipeline optimization through asynchronous evaluation based genetic programming.