The Featuretools Python library supports automated feature engineering and is published as open source.
Open source
24 alternativesmljar-supervised
vsAIF360
mljar-supervised vs AIF360
How do mljar-supervised and AIF360 compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | mljar-supervised | AIF360 |
|---|---|---|
| What it is | mljar-supervised provides tabular data AutoML with feature engineering, hyperparameter tuning, explanations, and documentation. | AIF360 provides fairness metrics and explanations for datasets and models, along with algorithms to mitigate bias. |
| 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 mljar-supervised and AIF360.
tsfresh automatically extracts relevant features from time series data.
Open source
24 alternatives
Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.
Open source
24 alternatives
Snorkel helps generate training data programmatically through weak supervision.
Open source
24 alternatives
pytorch tabular provides a unified framework for deep learning models on tabular data.
Open source
24 alternatives
Little Ball of Fur provides graph sampling extensions for NetworKit and NetworkX.
Open source
24 alternatives