# Embedding Atlas

A tool for interactively visualizing large embeddings and their metadata, letting a user cross-filter, search and explore data structure at scale.

For embeddings, Embedding Atlas provides automatic data clustering and labeling, kernel density estimation with density contours, order-independent transparency for overlapping points, real-time nearest-neighbor search, and WebGPU-powered rendering up to a few million points. For any tabular data, it adds linked dashboards and cross-filtering with standard chart types such as bar, line, bubble, count plot and eCDF and a composable chart spec, built-in viewers for text, image, audio, numeric, categorical and time columns, and AI agent access through MCP to query the schema, run SQL, create charts and capture screenshots.

It installs with `pip install embedding-atlas` and runs as a command-line tool or a Jupyter notebook widget through `EmbeddingAtlasWidget`; its components are also published as an npm package for use in plain JavaScript, React or Svelte.

It is written in TypeScript and licensed under MIT.

Website: https://apple.github.io/embedding-atlas/