azukds/tubular
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
This tool helps data scientists and machine learning engineers prepare their tabular data for building predictive models. You input raw, messy dataframes, and it outputs cleaned, transformed dataframes ready for machine learning algorithms. It automates common steps like handling missing values, standardizing dates, and encoding categories.
Available on PyPI.
Use this if you need to systematically clean and transform columns in your tabular datasets for machine learning, especially within scikit-learn pipelines.
Not ideal if you primarily work with unstructured data like images, text, or audio, or if your data preprocessing needs are minimal and don't require reusable components.
Stars
93
Forks
26
Language
Python
License
BSD-3-Clause
Category
Last pushed
Mar 05, 2026
Commits (30d)
0
Dependencies
6
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curl "https://pt-edge.onrender.com/api/v1/quality/transformers/azukds/tubular"
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