Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.
Open source
24 alternativesPandas Profiling
vsnilearn
Pandas Profiling vs nilearn
How do Pandas Profiling and nilearn compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Pandas Profiling | nilearn |
|---|---|---|
| What it is | This project profiles data quality and supports exploratory analysis of Pandas and Spark DataFrames. | nilearn provides Python tools for machine learning and neuroimaging analysis. |
| 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 Pandas Profiling and nilearn.
The Featuretools Python library supports automated feature engineering and is published as open source.
Open source
24 alternatives
tsfresh automatically extracts relevant features from time series data.
Open source
24 alternatives
Snorkel helps generate training data programmatically through weak supervision.
Open source
24 alternatives
pytorch tabular provides a unified framework for deep learning models on tabular data.
Open source
24 alternatives