Cleanlab provides a Python library for data quality and machine learning with messy real world data and labels.
Open source
24 alternativesPandas Profiling
vsFeaturetools
Pandas Profiling vs Featuretools
How do Pandas Profiling and Featuretools compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Pandas Profiling | Featuretools |
|---|---|---|
| What it is | This project profiles data quality and supports exploratory analysis of Pandas and Spark DataFrames. | The Featuretools Python library supports automated feature engineering and is published as open source. |
| 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 Featuretools.
oneDAL is a C++ and DPC++ library for accelerated machine learning routines on tabular data, governed by the UXL Foundation.
Open source
24 alternatives
tsfresh automatically extracts relevant features from time series data.
Open source
24 alternatives
mljar-supervised provides tabular data AutoML with feature engineering, hyperparameter tuning, explanations, and documentation.
Open source
24 alternatives
Snorkel helps generate training data programmatically through weak supervision.
Open source
24 alternatives
Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.
Open source
24 alternatives