The Featuretools Python library supports automated feature engineering and is published as open source.
Open source
24 alternativesHow do Snorkel and NALP compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Snorkel | NALP |
|---|---|---|
| What it is | Snorkel helps generate training data programmatically through weak supervision. | NALP covers Natural Adversarial Language Processing through a dedicated library. |
| 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 Snorkel and NALP.
The Featuretools Python library supports automated feature engineering and is published as open source.
tsfresh automatically extracts relevant features from time series data.
Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.
pytorch tabular provides a unified framework for deep learning models on tabular data.
neuropredict evaluates predictive performance using neuroimaging features.
nilearn provides Python tools for machine learning and neuroimaging analysis.