Kangas 2.0 is an open-source platform designed for exploring, analyzing, and visualizing large multimedia datasets with ease and flexibility, utilizing a robust architecture that includes a Flask server for data management and a Node-based rendering engine. Built with Next.js 13 and React Server Components, Kangas shifts computationally heavy rendering to the server, creating an efficient and interactive user experience. It allows data scientists to interact with data using familiar Pythonic syntax, converting these inputs to SQL on the backend, and supports integration with existing data storage platforms like HuggingFace and Comet. Kangas offers extensive customization and annotation capabilities, such as bounding boxes and masks for images, and can compute metrics like Intersection Over Union (IOU) for detailed data analysis. Designed to fit seamlessly into existing workflows without requiring significant changes, Kangas is also compatible with Jupyter Notebooks, enhancing its accessibility and utility for data scientists.