npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

candygraph

v0.10.0

Published

Fast by default, flexible 2D plotting library.

Downloads

15,644

Readme

  • 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; the API should be considered unstable.

Example

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();