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Embedding Atlas is an open-source tool by Apple that provides scalable, interactive visualizations for large embedding datasets. It enables users to visualize, cross-filter, and search through embeddings alongside rich metadata, all in real time using modern web-based technologies. In addition to the command line tool, Embedding Atlas is also available as a Jupyter widget. Finally, components from Embedding Atlas are also available in an npm package. Order-independent transparency ensuring accurate rendering despite overlapping points.
Features
- Automatic data clustering and labeling for intuitive structure navigation
- Kernel density estimation and density contours to highlight dense regions and outliers
- Order-independent transparency ensuring accurate rendering despite overlapping points
- Real-time search and nearest neighbor queries for quick exploration of similar data points
- WebGPU-backed rendering (with WebGL 2 fallback) delivering smooth performance for up to millions of points
- Multi-coordinated views enabling interactive linking and filtering across metadata dimensions
Project Samples
Categories
Artificial IntelligenceLicense
MIT LicenseFollow Embedding Atlas
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