embedding-atlas
Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (13.1%) to scientific vocabulary
Keywords
Scientific Fields
Repository
Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.
Basic Info
- Host: GitHub
- Owner: apple
- License: mit
- Language: TypeScript
- Default Branch: main
- Homepage: https://apple.github.io/embedding-atlas/
- Size: 18.8 MB
Statistics
- Stars: 3,369
- Watchers: 30
- Forks: 160
- Open Issues: 8
- Releases: 3
Topics
Metadata Files
README.md
Embedding Atlas
Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.
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.
Please visit https://apple.github.io/embedding-atlas for a demo and documentation.
Get started
To use Embedding Atlas with Python:
```bash pip install embedding-atlas
embedding-atlas
In addition to the command line tool, Embedding Atlas is also available as a Jupyter widget:
```python from embedding_atlas.widget import EmbeddingAtlasWidget
Show the Embedding Atlas widget for your data frame:
EmbeddingAtlasWidget(df) ```
Finally, components from Embedding Atlas are also available in an npm package:
bash
npm install embedding-atlas
```js import { EmbeddingAtlas, EmbeddingView, Table } from "embedding-atlas";
// or with React: import { EmbeddingAtlas, EmbeddingView, Table } from "embedding-atlas/react";
// or Svelte: import { EmbeddingAtlas, EmbeddingView, Table } from "embedding-atlas/svelte"; ```
For more information, please visit https://apple.github.io/embedding-atlas/overview.html.
BibTeX
For the Embedding Atlas tool:
bibtex
@misc{ren2025embedding,
title={Embedding Atlas: Low-Friction, Interactive Embedding Visualization},
author={Donghao Ren and Fred Hohman and Halden Lin and Dominik Moritz},
year={2025},
eprint={2505.06386},
archivePrefix={arXiv},
primaryClass={cs.HC},
url={https://arxiv.org/abs/2505.06386},
}
For the algorithm that automatically produces clusters and labels in the embedding view:
bibtex
@misc{ren2025scalable,
title={A Scalable Approach to Clustering Embedding Projections},
author={Donghao Ren and Fred Hohman and Dominik Moritz},
year={2025},
eprint={2504.07285},
archivePrefix={arXiv},
primaryClass={cs.HC},
url={https://arxiv.org/abs/2504.07285},
}
Development
This repo contains multiple sub-packages:
Frontend:
packages/component: TheEmbeddingViewandEmbeddingViewMosaiccomponents.packages/table: TheTablecomponent.packages/viewer: The frontend application for visualizing embedding and other columns. It also provides theEmbeddingAtlascomponent that can be embedded in other applications.packages/density-clustering: The density clustering algorithm, written in Rust.packages/umap-wasm: An implementation of UMAP algorithm in WebAssembly (with the umappp C++ library).packages/embedding-atlas: Theembedding-atlaspackage that get published. It imports all of the above and exposes their API in a single package.
Python:
packages/backend: A Python package namedembedding-atlasthat provides theembedding-atlascommand line tool.
Documentation:
packages/docs: The documentation website.
For more information, please visit https://apple.github.io/embedding-atlas/develop.html.
License
This code is released under the MIT license.
Owner
- Name: Apple
- Login: apple
- Kind: organization
- Location: Cupertino, CA
- Website: https://apple.com
- Repositories: 305
- Profile: https://github.com/apple
Citation (CITATION.cff)
citation-file-format: 1.2.0
creator:
- family-names: Ren
given-names: Donghao
- family-names: Hohman
given-names: Fred
- family-names: Lin
given-names: Halden
- family-names: Moritz
given-names: Dominik
title: Embedding Atlas
version: 1.0.0
url: https://github.com/apple/embedding-atlas
preferred-citation:
type: article
authors:
- family-names: Ren
given-names: Donghao
- family-names: Hohman
given-names: Fred
- family-names: Lin
given-names: Halden
- family-names: Moritz
given-names: Dominik
title: "Embedding Atlas: Low-Friction, Interactive Embedding Visualization"
year: 2025
journal: arXiv
url: https://arxiv.org/abs/2505.06386
Committers
Last synced: 6 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Donghao Ren | d****n@g****m | 31 |
| Fabion Kauker | 4****k | 1 |
| Dominik Moritz | d****z@g****m | 1 |
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 11
- Total pull requests: 21
- Average time to close issues: 2 days
- Average time to close pull requests: about 13 hours
- Total issue authors: 10
- Total pull request authors: 7
- Average comments per issue: 1.36
- Average comments per pull request: 0.19
- Merged pull requests: 14
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 11
- Pull requests: 21
- Average time to close issues: 2 days
- Average time to close pull requests: about 13 hours
- Issue authors: 10
- Pull request authors: 7
- Average comments per issue: 1.36
- Average comments per pull request: 0.19
- Merged pull requests: 14
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- xnought (2)
- do-me (1)
- pngwn (1)
- KirillSimonov (1)
- dataelvisliang (1)
- fhk (1)
- arminpasalic (1)
- jamesanto (1)
- Aystein (1)
- ramkumarkb (1)
Pull Request Authors
- donghaoren (12)
- domoritz (3)
- fhk (2)
- nxlouie (1)
- arminpasalic (1)
- davanstrien (1)
- Anush008 (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
-
Total downloads:
- pypi 9,883 last-month
- npm 2,181 last-month
-
Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 0
(may contain duplicates) - Total versions: 8
- Total maintainers: 5
npmjs.org: embedding-atlas
Components for interactive embedding visualization
- Homepage: https://apple.github.io/embedding-atlas
- License: MIT
-
Latest release: 0.9.0
published 4 months ago
Rankings
Maintainers (4)
pypi.org: embedding-atlas
A tool for visualizing embeddings
- Documentation: https://embedding-atlas.readthedocs.io/
- License: mit
-
Latest release: 0.9.0
published 4 months ago
Rankings
Maintainers (2)
Dependencies
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- 653 dependencies
- prettier ^3.2.5 development
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- @embedding-atlas/viewer * development
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- @embedding-atlas/component * development
- @embedding-atlas/table * development
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- 187 dependencies