Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata. Open sourced by Apple.

Looks like Apple is letting their research publish open source projects! If so — that's great news for the OSS ecosystem.

Embedding Atlas Features:

🏷️ Automatic data clustering & labeling: Interactively visualize and navigate overall data structure.
🫧 Kernel density estimation & density contours: Easily explore and distinguish between dense regions of data and outliers.
🧊 Order-independent transparency: Ensure clear, accurate rendering of overlapping points.
🔍 Real-time search & nearest neighbors: Find similar data to a given query or existing data point.
🚀 WebGPU implementation (with WebGL 2 fallback): Fast, smooth performance (up to few million points) with modern rendering stack.
📊 Multi-coordinated views for metadata exploration: Interactively link and filter data across metadata columns.

Check out the demo — impressive this is all done in the browser!

@chrismessina Embedding Atlas addresses the friction of embedding visualizations head-on. According to its accompanying paper, it's designed for ease-of-use with minimal data wrangling, great scalability (millions of points!), and multi-view metadata exploration. It's rare to get that level of polish combined with real-time interactivity in a browser. Kudos to the team!

Almost exactly what I need now for my PhD!!!

I work with large embedding datasets—this visualization saves hours. Can it handle real-time updates or streaming data sources?

Embedding Atlas

Compute & interactively visualize large embeddings

Compute & interactively visualize large embeddings

Embedding Atlas

Compute & interactively visualize large embeddings

Compute & interactively visualize large embeddings