The Featuretools Python library supports automated feature engineering and is published as open source.
mljar-supervised
vsModin
mljar-supervised vs Modin
How do mljar-supervised and Modin compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | mljar-supervised | Modin |
|---|---|---|
| What it is | mljar-supervised provides tabular data AutoML with feature engineering, hyperparameter tuning, explanations, and documentation. | Modin scales Pandas data workflows by changing a single line of code in a project. |
| 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 |
Other options to consider
Sites similar to both mljar-supervised and Modin.
Open source
24 alternativestsfresh automatically extracts relevant features from time series data.
Open source
24 alternativesSnorkel helps generate training data programmatically through weak supervision.
Open source
24 alternativesFeature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.
Open source
24 alternativesoneDAL is a C++ and DPC++ library for accelerated machine learning routines on tabular data, governed by the UXL Foundation.
Open source
24 alternativesThis project profiles data quality and supports exploratory analysis of Pandas and Spark DataFrames.
Open source
24 alternatives






