32 |
33 | # Graphistry - Visual Graph Intelligence
34 |
35 | GPU and AI acceleration for interactive visualization of large graphs. Used accross multiple industries for security, fraud, supply chain, social media analysis and more. Graphistry supports live explorations of large datasets by running server side GPUs to stream into a custom WebGL rendering engine. This enables graph metrics and dynamic layout of up to 8MM nodes and edges at a time, most older client GPUs smoothly support somewhere between 100K and 1MM elements.
36 |
37 | You can
38 |
39 | - [Start with a free Graphistry Hub account](https://www.graphistry.com/get-started)
40 | - [Create Python notebooks with PyGraphistry](https://github.com/graphistry/pygraphistry)
41 | - [Build StreamLit dashboards in Graph-App-Kit](https://github.com/graphistry/graph-app-kit)
42 | - [Directly interact with Graphistry REST APIs](https://hub.graphistry.com/docs/api/)
43 | - [Launch your own Graphistry server with just a few clicks](https://www.graphistry.com/get-started)
44 |
45 |
46 |
47 | # JavaScript clients: Vanilla JS, React, & Node
48 |
49 | ## @graphistry/client-api
50 |
51 |
52 |
53 | Pure JavaScript API for manipulating Graphistry visualizations in the browser with async-friendly APIs
54 |
55 | ```bash
56 | npm install '@graphistry/client-api'
57 | ```
58 |
59 | ```javascript
60 | import { graphistryJS } from "@graphistry/client-api"; // + variants for different bundling formats
61 | const g = graphistryJS(elt);
62 | ```
63 |
64 | See [@graphistry/client-api project](projects/client-api/README.md) and [interactive storybook docs](https://graphistry.github.io/graphistry-js/?path=/story/graphistry-vanilla-js)
65 |
66 |