A Python/Pandas ETL pipeline that turns a deliberately messy automotive dataset into production-ready data, with 15 pytest tests and GitHub Actions CI.
A light-weight, flexible, and expressive statistical data testing library
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
Machine learning with dataframes
Automated data preparation for machine learning. Load a dataset, clean, transform, encode, scale and split it, explore it with built-in analysis, and export model-ready data with a full report. Built with Python and Streamlit.