AutoKeras
7.3#2 in automl softwareFree planFree planAPILinuxmacOSSelf-hosted
VisitAutoKeras vs EvalML
What both publish
| Fact | AutoKeras | EvalML |
|---|---|---|
| Installation | The official installation method is pip install autokeras, with Python 3 required. | EvalML can be installed from PyPI, conda-forge, or source, with Python 3.9–3.11 supported on the current installation page. |
| Purpose | AutoKeras is an AutoML system based on Keras, developed to make machine learning accessible to everyone. | EvalML is an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions. |
| Support | The project directs users to GitHub Discussions to ask questions. | The project directs users to Stack Overflow for usage questions, GitHub issues for bugs and feature requests, Slack for development discussion, and [email protected] for other questions. |
AutoKeras plans
- AutoKerasFree
- Open-source libraryFree
EvalML plans
No prices published.
Pick AutoKeras if…
AutoKeras suits developers and machine-learning practitioners who want automated model selection within a code-based workflow. It supports several data types and allows users to customize model blocks and training validation settings.
Pick EvalML if…
EvalML suits people who want to automate machine-learning pipeline creation and optimization in code. It may also fit teams combining supervised machine-learning workflows with Featuretools and Compose.