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

react-gauge-component

v1.2.2

Published

Gauge component for React

Downloads

24,198

Readme

react-gauge-component

React Gauge Chart Component for data visualization.

This is forked from @Martin36/react-gauge-chart 0b24a45. Key differences:

Demo

https://antoniolago.github.io/react-gauge-component/

Usage

Install it by running npm install react-gauge-component --save or yarn add react-gauge-component. Then to use it:

import GaugeComponent from 'react-gauge-component'

//Component with default values
<GaugeComponent />

For next.js you'll have to do dynamic import:

import dynamic from "next/dynamic";
const GaugeComponent = dynamic(() => import('react-gauge-component'), { ssr: false });

//Component with default values
<GaugeComponent />

Examples

Simple Gauge.

Image of Simple Grafana Gauge Component for a simple data visualization

Simple Gauge

<GaugeComponent
  arc={{
    subArcs: [
      {
        limit: 20,
        color: '#EA4228',
        showTick: true
      },
      {
        limit: 40,
        color: '#F58B19',
        showTick: true
      },
      {
        limit: 60,
        color: '#F5CD19',
        showTick: true
      },
      {
        limit: 100,
        color: '#5BE12C',
        showTick: true
      },
    ]
  }}
  value={50}
/>

Custom Bandwidth Gauge.

Image of Gauge Component for bandwidth visualization

Bandwidth Gauge

const kbitsToMbits = (value) => {
  if (value >= 1000) {
    value = value / 1000;
    if (Number.isInteger(value)) {
      return value.toFixed(0) + ' mbit/s';
    } else {
      return value.toFixed(1) + ' mbit/s';
    }
  } else {
    return value.toFixed(0) + ' kbit/s';
  }
}
<GaugeComponent
  arc={{
    nbSubArcs: 150,
    colorArray: ['#5BE12C', '#F5CD19', '#EA4228'],
    width: 0.3,
    padding: 0.003
  }}
  labels={{
    valueLabel: {
      fontSize: 40,
      formatTextValue: kbitsToMbits
    },
    tickLabels: {
      type: "outer",
      ticks: [
        { value: 100 },
        { value: 200 },
        { value: 300 },
        { value: 400 },
        { value: 500 },
        { value: 600 },
        { value: 700 },
        { value: 800 },
        { value: 900 },
        { value: 1000 },
        { value: 1500 },
        { value: 2000 },
        { value: 2500 },
        { value: 3000 },
      ],
      valueConfig: {
        formatTextValue: kbitsToMbits
      }
    }
  }}
  value={900}
  maxValue={3000}
/>

Custom Temperature Gauge

Image of React Gauge Component for temperature visualization

Temperature Gauge

<GaugeComponent
  type="semicircle"
  arc={{
    width: 0.2,
    padding: 0.005,
    cornerRadius: 1,
    // gradient: true,
    subArcs: [
      {
        limit: 15,
        color: '#EA4228',
        showTick: true,
        tooltip: {
          text: 'Too low temperature!'
        },
        onClick: () => console.log("AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA"),
        onMouseMove: () => console.log("BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB"),
        onMouseLeave: () => console.log("CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC"),
      },
      {
        limit: 17,
        color: '#F5CD19',
        showTick: true,
        tooltip: {
          text: 'Low temperature!'
        }
      },
      {
        limit: 28,
        color: '#5BE12C',
        showTick: true,
        tooltip: {
          text: 'OK temperature!'
        }
      },
      {
        limit: 30, color: '#F5CD19', showTick: true,
        tooltip: {
          text: 'High temperature!'
        }
      },
      {
        color: '#EA4228',
        tooltip: {
          text: 'Too high temperature!'
        }
      }
    ]
  }}
  pointer={{
    color: '#345243',
    length: 0.80,
    width: 15,
    // elastic: true,
  }}
  labels={{
    valueLabel: { formatTextValue: value => value + 'ºC' },
    tickLabels: {
      type: 'outer',
      valueConfig: { formatTextValue: value => value + 'ºC', fontSize: 10 },
      ticks: [
        { value: 13 },
        { value: 22.5 },
        { value: 32 }
      ],
    }
  }}
  value={22.5}
  minValue={10}
  maxValue={35}
/>

Gauge with blob.

Image of Blob Gauge Component for a simple data visualization

Custom gauge with blob

<GaugeComponent
  type="semicircle"
  arc={{
    colorArray: ['#00FF15', '#FF2121'],
    padding: 0.02,
    subArcs:
      [
        { limit: 40 },
        { limit: 60 },
        { limit: 70 },
        {},
        {},
        {},
        {}
      ]
  }}
  pointer={{type: "blob", animationDelay: 0 }}
  value={50}
/>

Gradient with arrow gauge.

Image of Gradient with Arrow Gauge Component for a simple data visualization

Custom gradient with arrow

<GaugeComponent
  id="gauge-component4"
  arc={{
    gradient: true,
    width: 0.15,
    padding: 0,
    subArcs: [
      {
        limit: 15,
        color: '#EA4228',
        showTick: true
      },
      {
        limit: 37,
        color: '#F5CD19',
        showTick: true
      },
      {
        limit: 58,
        color: '#5BE12C',
        showTick: true
      },
      {
        limit: 75,
        color: '#F5CD19',
        showTick: true
      },
      { color: '#EA4228' }
    ]
  }}
  value={50}
  pointer={{type: "arrow", elastic: true}}
/>

Custom radial gauge.

Image of Radial Gauge Component for a simple data visualization

Custom Radial Gauge

<GaugeComponent
  value={50}
  type="radial"
  labels={{
    tickLabels: {
      type: "inner",
      ticks: [
        { value: 20 },
        { value: 40 },
        { value: 60 },
        { value: 80 },
        { value: 100 }
      ]
    }
  }}
  arc={{
    colorArray: ['#5BE12C','#EA4228'],
    subArcs: [{limit: 10}, {limit: 30}, {}, {}, {}],
    padding: 0.02,
    width: 0.3
  }}
  pointer={{
    elastic: true,
    animationDelay: 0
  }}
/>

API

Colors for the chart

The 'colorArray' prop could either be specified as an array of hex color values, such as ["#FF0000", "#00FF00", "#0000FF"] where each arc would a color in the array (colors are assigned from left to right). If that is the case, then the length of the array must match the number of levels in the arc. If the number of colors does not match the number of levels, then the first and the last color from the colors array will be selected and the arcs will get colors that are interpolated between those. The interpolation is done using d3.interpolateHsl.