| Name | Version | Summary | date |
| noventis |
0.1.1 |
An all-in-one automation library that simplifies data cleaning, exploratory data analysis, and machine learning — from raw data to ready-to-deploy models. |
2025-10-10 16:33:42 |
| featurecraft |
1.0.0 |
Automatic feature engineering, insights, and sklearn pipelines for tabular ML with optional time-series support. |
2025-10-09 18:19:11 |
| dataglass |
0.8.1 |
dataglass is a Python library for data preprocessing, exploratory data analysis (EDA), and machine learning. It includes modules for handling missing values, detecting and resolving duplicates, managing outliers, feature encoding, type conversion, scaling, and pipeline integration. With its latest update, dataglass introduces intelligent automation which dynamically adapting preprocessing steps based on dataset characteristics, minimizing manual configuration and accelerating your workflow. |
2025-09-07 07:54:05 |
| tubular |
1.4.8 |
Package to perform pre processing steps for machine learning models |
2025-09-03 09:45:54 |
| binlearn |
1.0.1 |
A comprehensive binning and discretization library for machine learning |
2025-08-10 18:24:47 |
| edge-research-pipeline |
1.1.0 |
Modular pipeline for quantitative signal discovery and validation |
2025-08-07 06:38:32 |
| cross_ml |
2.0.1 |
⚠️ DEPRECATED: Please use BeaverFE instead (https://pypi.org/project/beaverfe/) |
2025-07-21 08:52:30 |
| databricks-feature-engineering |
0.12.1 |
Databricks Feature Engineering Client |
2025-06-03 22:41:55 |
| augini |
0.3.3 |
AI-powered Python framework for tabular data enrichment and analysis using LLMs. Features include intelligent feature engineering, natural language data analysis, and AI agents for automated workflows. |
2025-02-08 17:08:01 |
| dataprocessor_vb |
0.1.1 |
A comprehensive data processing library. |
2024-12-21 14:02:12 |
| robustpreprocessor |
1.0.0 |
RobustPreprocessor is designed to preprocess datasets effectively to ensure robust data preparation before further analysis or modeling. |
2024-11-22 09:57:57 |
| 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 |
| 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 |
| 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 |