https://github.com/wwwtyro/candygraph

Fast by default, flexible 2D plotting library.
https://github.com/wwwtyro/candygraph

Last synced: 3 months ago
JSON representation

Fast by default, flexible 2D plotting library.

• Host: GitHub
• URL: https://github.com/wwwtyro/candygraph
• Owner: wwwtyro
• License: other
• Created: 2020-07-19T01:37:25.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-03-19T21:43:27.000Z (11 months ago)
• Last Synced: 2024-11-06T07:43:34.192Z (3 months ago)
• Language: TypeScript
• Size: 1.54 MB
• Stars: 436
• Watchers: 9
• Forks: 11
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-github-repos - wwwtyro/candygraph - Fast by default, flexible 2D plotting library. (TypeScript)
• awesome-list - candygraph

README

        


  CandyGraph





  A flexible and fast-by-default 2D plotting library tuned for rendering huge datasets on the GPU at interactive speeds.





  


    Tutorial |

    Examples |

    API Docs

  



- Adopts D3's elegant concept of scales, but implements them on the GPU to maximize data throughput and handle scale changes with no additional cost.

- Performs all rendering on the GPU, even axes and text. This keeps rendering and compositing fast and simple - no need to overlay a canvas or svg over your plot.

- Provides a small but growing set of highly optimized primitives that are tuned for handling huge datasets.

- Provides a set of higher-level composite objects composed of primitives to simplify common rendering tasks.

> CandyGraph is still in [major version zero](https://semver.org/#spec-item-4); the API should be considered unstable.

## Example



  



```typescript

import CandyGraph, {

  createDefaultFont,

  LinearScale,

  OpaqueLineStrip,

  OrthoAxis,

  CartesianCoordinateSystem,

} from "candygraph";

async function main() {

  const cg = new CandyGraph();

  cg.canvas.width = cg.canvas.height = 384;

  // Generate some x & y data.

  const xs = [];

  const ys = [];

  for (let x = 0; x <= 1; x += 0.001) {

    xs.push(x);

    ys.push(0.5 + 0.25 * Math.sin(x * 2 * Math.PI));

  }

  // Create a viewport. Units are in pixels.

  const viewport = {

    x: 0,

    y: 0,

    width: cg.canvas.width,

    height: cg.canvas.height,

  };

  // Create a coordinate system from two linear scales. Note

  // that we add 32 pixels of padding to the left and bottom

  // of the viewport, and 16 pixels to the top and right.

  const coords = new CartesianCoordinateSystem(

    cg,

    new LinearScale([0, 1], [32, viewport.width - 16]),

    new LinearScale([0, 1], [32, viewport.height - 16])

  );

  // Load the default Lato font

  const font = await createDefaultFont(cg);

  // Clear the viewport.

  cg.clear([1, 1, 1, 1]);

  // Render the a line strip representing the x & y data, and axes.

  cg.render(coords, viewport, [

    new OpaqueLineStrip(cg, xs, ys, {

      colors: [1, 0.5, 0.0],

      widths: 3,

    }),

    new OrthoAxis(cg, coords, "x", font, {

      labelSide: 1,

      tickOffset: -2.5,

      tickLength: 6,

      tickStep: 0.2,

      labelFormatter: (n) => n.toFixed(1),

    }),

    new OrthoAxis(cg, coords, "y", font, {

      tickOffset: 2.5,

      tickLength: 6,

      tickStep: 0.2,

      labelFormatter: (n) => n.toFixed(1),

    }),

  ]);

  // Copy the plot to a new canvas and add it to the document.

  document.body.appendChild(cg.copyTo(viewport));

}

main();

```