| Name | Version | Summary | date |
| DataRefine |
1.0 |
A no-code solution for performing data cleaning like misssing value imputation,outlier handling,normalisation,transformation and quality check with an intuitive interface for interactive DataFrame manipulation and easy CSV export. |
2024-11-02 16:34:00 |
| datarefi |
1.6 |
A no-code solution for performing data cleaning like misssing value imputation,outlier handling,normalisation,transformation and quality check with an intuitive interface for interactive DataFrame manipulation and easy CSV export. |
2024-11-02 14:08:42 |
| featransform |
0.9.21 |
Featransform is an automated feature engineering framework for Supervised Machine Learning |
2024-10-24 18:29:48 |
| tubular |
1.4.0 |
Package to perform pre processing steps for machine learning models |
2024-10-15 09:03:08 |
| getml |
1.5.0 |
Python API for getML |
2024-09-24 16:12:25 |
| FeatureRefiner |
1.1 |
A no-code solution for performing data transformations like imputation, encoding, scaling, and feature creation, with an intuitive interface for interactive DataFrame manipulation and easy CSV export. |
2024-09-11 12:15:41 |
| featurewise |
1.1.7 |
A no-code solution for performing data transformations like imputation, encoding, scaling, and feature creation, with an intuitive interface for interactive DataFrame manipulation and easy CSV export. |
2024-09-08 13:16:15 |
| FeatureWise |
1.0 |
A no-code solution for performing data transformations like imputation, encoding, scaling, and feature creation, with an intuitive interface for interactive DataFrame manipulation and easy CSV export. |
2024-09-04 11:35:08 |
| databricks-feature-engineering |
0.7.0 |
Databricks Feature Engineering Client |
2024-08-27 23:52:30 |
| veda-lib |
0.0.5 |
veda_lib is a Python library designed to streamline the data preprocessing and cleaning workflow for machine learning projects. It offers a comprehensive set of tools to handle common data preparation tasks |
2024-08-21 13:36:05 |
| datasafari |
1.0.0 |
DataSafari simplifies complex data science tasks into straightforward, powerful one-liners. |
2024-07-12 20:11:59 |
| autofeat |
2.1.3 |
Automatic Feature Engineering and Selection Linear Prediction Model |
2024-07-04 18:24:37 |
| featuristic |
1.1.0 |
Genetic algorithms for automated feature engineering and feature selection |
2024-04-10 14:40:08 |
| feature-engineering |
2.1.4 |
Unleash the Power of Your Data with Feature Engineering: The Ultimate Python Library for Machine Learning Preprocessing and Enhancement |
2024-04-09 02:00:21 |