tsfresh automatically extracts relevant features from time series data.
Open source
24 alternativesHow do Disco and Snorkel compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Disco | Snorkel |
|---|---|---|
| What it is | Disco’s discovery engine finds statistically validated patterns in tabular data, including feature interactions and subgroup effects. | Snorkel helps generate training data programmatically through weak supervision. |
| 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 Disco and Snorkel.
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.
This TabGAN repository reviews research on applying GANs to generate tabular data.
Modin scales Pandas data workflows by changing a single line of code in a project.
The Featuretools Python library supports automated feature engineering and is published as open source.