Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.
Open source
24 alternativesHow do Pycaret and H2O AutoML compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Pycaret | H2O AutoML |
|---|---|---|
| What it is | PyCaret provides a low code AutoML platform for Python, with a scikit-learn native engine and React control plane. | H2O AutoML automatically generates features and selections, with a no code AutoML offering. |
| Website | ||
| Type | Open-source project | Online tool |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Web |
| Open source | Not stated | Not stated |
| Language | English | English |
| Alternatives |
Sites similar to both Pycaret and H2O AutoML.
Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.
tsfresh automatically extracts relevant features from time series data.
The Featuretools Python library supports automated feature engineering and is published as open source.
Snorkel helps generate training data programmatically through weak supervision.
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.