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EvalML

Irvine, California, United States

On the record

Add-ons
Documented add-ons include an update checker and time-series support using Facebook’s Prophet library.evalml.alteryx.com · read 2 Oct 2026
Apple M1 caveat
The documentation says not all dependencies support Apple M1 and recommends installing EvalML with core dependencies on that chip.evalml.alteryx.com · read 2 Oct 2026
Automation
The project README lists automation features including data-quality checks and cross-validation.github.com · read 2 Oct 2026
AutoML objectives
EvalML supports standard objectives such as mean squared error, cross entropy, and area under the ROC curve, and allows users to define custom objectives.evalml.alteryx.com · read 2 Oct 2026
Custom objectives
EvalML includes domain-specific objective functions and an interface for defining custom objectives.github.com · read 2 Oct 2026
End-to-end solutions
EvalML can be combined with Featuretools and Compose to create end-to-end supervised machine-learning solutions.evalml.alteryx.com · read 2 Oct 2026
End-to-end workflows
EvalML can be combined with Featuretools and Compose to create end-to-end supervised machine learning solutions.evalml.alteryx.com · read 2 Oct 2026
Example use cases
Official tutorials cover fraud prediction, lead scoring, cost-benefit objectives, and text data.evalml.alteryx.com · read 2 Oct 2026
Installation
EvalML can be installed from PyPI, conda-forge, or source, with Python 3.9–3.11 supported on the current installation page.evalml.alteryx.com · read 2 Oct 2026
Intended users
Alteryx says EvalML can guide people who want to understand how a system works or generate accurate predictions to an efficient solution.alteryx.com · read 2 Oct 2026
Mac limitations
Running EvalML on Mac requires the OpenMP library for LightGBM, and M1 Macs have incomplete dependency support with core-dependencies installation recommended.evalml.alteryx.com · read 2 Oct 2026
Mac setup caveat
The documentation says LightGBM requires the OpenMP library on Mac and gives Homebrew instructions for installing it.evalml.alteryx.com · read 2 Oct 2026
Maker and headquarters
Alteryx lists its headquarters at 3347 Michelson Drive, Suite 400, Irvine, California 92612.alteryx.com · read 2 Oct 2026
Maker founding year
Alteryx says it was founded in 1997.alteryx.com · read 2 Oct 2026
Model understanding
The user guide includes model-understanding documentation with examples of force plots explaining individual predictions.evalml.alteryx.com · read 2 Oct 2026
Open-source status
Alteryx describes EvalML as one of its open-source projects and links to its documentation and GitHub project files.alteryx.com · read 2 Oct 2026
Optional dependencies
XGBoost and CatBoost support modeling pipelines, while Plotly and ipywidgets support plotting in AutoML searches; these dependencies are optional.evalml.alteryx.com · read 2 Oct 2026
Pipeline construction
EvalML constructs and optimizes pipelines containing preprocessing, feature engineering, feature selection, and multiple modeling techniques.github.com · read 2 Oct 2026

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