Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.
Open source
24 alternativesFeaturetools
vsmljar-supervised
Featuretools vs mljar-supervised
How do Featuretools and mljar-supervised compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Featuretools | mljar-supervised |
|---|---|---|
| What it is | The Featuretools Python library supports automated feature engineering and is published as open source. | mljar-supervised provides tabular data AutoML with feature engineering, hyperparameter tuning, explanations, and documentation. |
| 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 Featuretools and mljar-supervised.
Python library for decision tree visualization and model interpretation.
Open source
24 alternatives
tsfresh automatically extracts relevant features from time series data.
Open source
24 alternatives
Snorkel helps generate training data programmatically through weak supervision.
Open source
24 alternatives
oneDAL is a C++ and DPC++ library for accelerated machine learning routines on tabular data, governed by the UXL Foundation.
Open source
24 alternatives
PyCaret provides a low code AutoML platform for Python, with a scikit-learn native engine and React control plane.