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