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Zaps: Pythonic Exploratory Data Analysis Framework

ZAPS is a lightweight, low-code Python wrapper designed to simplify and accelerate the exploratory data analysis (EDA) process. Built on top of industry-standard libraries, it provides an intuitive and efficient framework for data inspection, visualization, and preparation.

With ZAPS, you can quickly and easily perform a wide range of EDA tasks, without the need for complex code or extensive programming expertise; allowing you to focus on insights and decision-making rather than tedious data manipulation, all for unlocking deeper understanding and actionable insights from your data.

Main Features

  • Combined capabilities of multiple modules in a concise single interface

  • Highlighting potential underlying problems and summarizing input data

  • Rich tabular reports and highly customizable interactive visualizations

  • Statistical modeling with commonly used algorithms and metrics

  • Flexible alternation between numeric and categorical data

  • User friendly error handling and informative workflow

  • Easy integration with Scikit-learn Pipeline