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Kangas: Explore multimedia datasets at scale

Kangas is a tool for exploring, analyzing, and visualizing large-scale multimedia data. It provides a straightforward Python API for logging large tables of data, along with an intuitive visual interface for performing complex queries against your dataset.

The key features of Kangas include:

• Scalability. Kangas DataGrid, the fundamental class for representing datasets, can easily store millions of rows of data.
• Performance. Group, sort, and filter across millions of data points in seconds with a simple, fast UI.
• Interoperability. Any data, any environment. Kangas can run in a notebook or as a standalone app, both locally and remotely.
• Integrated computer vision support. Visualize and filter bounding boxes, labels, and metadata without any extra setup.

You can access a live demo of Kangas at kangas.comet.com.