The Featuretools Python library supports automated feature engineering and is published as open source.
Open source
24 alternativesHow do neuropredict and Feature Engine compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | neuropredict | Feature Engine |
|---|---|---|
| What it is | neuropredict evaluates predictive performance using neuroimaging features. | 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 neuropredict and Feature Engine.
The Featuretools Python library supports automated feature engineering and is published as open source.
tsfresh automatically extracts relevant features from time series data.
Snorkel helps generate training data programmatically through weak supervision.
nilearn provides Python tools for machine learning and neuroimaging analysis.
A Python package to assess and improve fairness of machine learning models.
modAL provides a modular active learning framework for Python built on top of scikit-learn.