KitikiPlot A Python library to visualize categorical sliding window data

The Sliding Window technique is a versatile approach frequently applied in domains ranging from genomics and electronics to climate analysis and algorithm development. While Matplotlib facilitates the visualization of sequential continuous data, KitikiPlot, our Python library, is dedicated to complementing this by focusing on the visualization of sequential categorical data using sliding windows. By offering intuitive and customizable visualizations, it empowers researchers, data scientists, and analysts across diverse fields to derive rapid insights into categorical trends, promoting informed decision-making. Built on top of Matplotlib, it seamlessly integrates with various research projects and demonstrates significant potential across multiple fields.