#3 · Primary category: Graph & Network Visualization

graph

embeddings force graph network simulation visualization webgl

GPU-accelerated force graph layout and rendering

Project last updated:08/27/26

GitHub Stars

1.3K

Forks

83

Contributors

10

License

MIT

Why we included this project

When the data you need to show in the browser runs to hundreds of thousands of connected points, most JavaScript graph libraries start to crawl. cosmos.gl moves the entire force-directed simulation and the drawing onto the GPU, so large network graphs stay interactive rather than locking up the tab. That makes it a solid choice for embedding spaces, transaction flows, social networks, or knowledge graphs where data volume overwhelms CPU-based layout. The API takes Float32Array positions and link indices, with knobs for friction, gravity, and repulsion, and returns drag, zoom, highlighting, and hover events without extra wiring. It also powers the Cosmograph toolset, so the same engine sits behind a production tool for exploring complex networks and AI embeddings.

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