The Featuretools Python library supports automated feature engineering and is published as open source.
Open source
24 alternativesHow do Fairlearn and Feature Engine compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Fairlearn | Feature Engine |
|---|---|---|
| What it is | A Python package to assess and improve fairness of machine learning models. | Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn. |
| 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 Fairlearn and Feature Engine.
The Featuretools Python library supports automated feature engineering and is published as open source.
modAL provides a modular active learning framework for Python built on top of scikit-learn.
nilearn provides Python tools for machine learning and neuroimaging analysis.
Python package which helps to debug machine learning classifiers and explain their predictions.
tsfresh automatically extracts relevant features from time series data.
Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.