In May 2023, Comet introduced Kangas, an open-source tool designed to enhance exploratory data analysis (EDA) by addressing common challenges faced by data scientists, particularly in computer vision. Kangas aims to tackle issues like processing large datasets, simplifying data visualization, and improving interoperability in EDA. Unlike traditional methods that rely heavily on memory and complex pipelines, Kangas uses a novel approach by storing data in SQLite databases, allowing for efficient handling of vast amounts of data and complex queries. The tool also features an intuitive web-based UI for fast and visually appealing data visualizations, and it supports various data input methods to ensure flexibility and ease of use. As a free and open-source project, Kangas encourages community involvement and feedback to shape its development and prioritize future enhancements.