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Create beautiful JavaScript charts with one line of Ruby

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Quick Overview

Chartkick is a powerful and easy-to-use charting library for Ruby, JavaScript, and Python. It allows developers to create beautiful charts with minimal code, supporting various chart types and integrating seamlessly with popular web frameworks like Rails, Vue, and React.

Pros

  • Simple and intuitive API for creating charts quickly
  • Supports multiple backends (Chart.js, Google Charts, Highcharts)
  • Integrates well with various web frameworks and languages
  • Responsive and mobile-friendly charts out of the box

Cons

  • Limited customization options compared to using chart libraries directly
  • Dependency on external charting libraries may increase load times
  • Some advanced chart types or features may not be supported
  • Documentation could be more comprehensive for complex use cases

Code Examples

  1. Creating a line chart in Ruby:
<%= line_chart User.group_by_day(:created_at).count %>
  1. Creating a pie chart in JavaScript:
new Chartkick.PieChart("chart-1", {"Blueberry": 44, "Strawberry": 23, "Banana": 22, "Apple": 21})
  1. Creating a column chart with multiple series in Python:
column_chart([
    {"name": "Workout", "data": {"2021-01-01": 3, "2021-01-02": 4, "2021-01-03": 3}},
    {"name": "Call parents", "data": {"2021-01-01": 5, "2021-01-02": 3, "2021-01-03": 4}}
])

Getting Started

To use Chartkick in a Rails application:

  1. Add to your Gemfile:

    gem 'chartkick'
    
  2. Run:

    bundle install
    
  3. In your application.js, add:

    //= require chartkick
    //= require Chart.bundle
    
  4. In your view, create a chart:

    <%= line_chart @data %>
    

Competitor Comparisons

Highcharts JS, the JavaScript charting framework

Pros of Highcharts

  • More extensive and feature-rich charting library with a wide variety of chart types
  • Highly customizable with advanced styling and animation options
  • Better suited for complex, interactive data visualizations

Cons of Highcharts

  • Commercial license required for most use cases, which can be costly
  • Steeper learning curve due to its extensive API and configuration options
  • Larger file size, potentially impacting page load times

Code Comparison

Chartkick:

<%= line_chart User.group_by_day(:created_at).count %>

Highcharts:

Highcharts.chart('container', {
  series: [{
    data: [1, 2, 3, 4, 5]
  }]
});

Key Differences

  • Chartkick focuses on simplicity and ease of use, while Highcharts offers more advanced features
  • Chartkick is open-source and free for all uses, whereas Highcharts requires a commercial license for most applications
  • Chartkick provides a higher-level abstraction, making it easier to create charts with less code
  • Highcharts offers more fine-grained control over chart appearance and behavior

Use Cases

  • Chartkick: Ideal for quickly adding simple charts to web applications, especially in Ruby on Rails projects
  • Highcharts: Better suited for complex data visualizations, dashboards, and applications requiring extensive customization
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  • More customizable and flexible, offering a wide range of chart types and options
  • Better performance for large datasets and complex visualizations
  • Extensive documentation and a larger community for support

Cons of Chart.js

  • Steeper learning curve, requiring more JavaScript knowledge
  • Larger file size, which may impact page load times
  • Requires more code to create basic charts compared to Chartkick

Code Comparison

Chartkick:

<%= line_chart User.group_by_day(:created_at).count %>

Chart.js:

new Chart(ctx, {
  type: 'line',
  data: {
    labels: ['Day 1', 'Day 2', 'Day 3'],
    datasets: [{
      data: [12, 19, 3]
    }]
  }
});

Summary

Chart.js offers more advanced features and customization options, making it suitable for complex visualizations. However, it requires more JavaScript knowledge and code to implement. Chartkick provides a simpler, more concise approach for basic charts, especially when working with Ruby on Rails applications. The choice between the two depends on the project's requirements, the developer's expertise, and the desired level of customization.

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Pros of d3

  • Highly flexible and customizable, allowing for complex and unique visualizations
  • Extensive library with a wide range of chart types and data manipulation tools
  • Large community and ecosystem with numerous extensions and resources

Cons of d3

  • Steeper learning curve due to its low-level nature and complexity
  • Requires more code and setup for basic charts compared to simpler libraries
  • May be overkill for simple visualization needs

Code Comparison

d3:

const svg = d3.select("body").append("svg")
    .attr("width", 400)
    .attr("height", 300);

svg.selectAll("rect")
    .data(data)
    .enter()
    .append("rect")
    .attr("x", (d, i) => i * 70)
    .attr("y", (d, i) => 300 - 10 * d)
    .attr("width", 65)
    .attr("height", (d, i) => d * 10);

Chartkick:

new Chartkick.BarChart("chart-1", data);

Summary

d3 offers unparalleled flexibility and power for creating complex, custom visualizations, but comes with a steeper learning curve. Chartkick, on the other hand, provides a simpler, more straightforward approach for creating common chart types with minimal code. While d3 excels in scenarios requiring highly customized or interactive visualizations, Chartkick is better suited for quickly implementing standard charts with less development overhead.

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Open-source JavaScript charting library behind Plotly and Dash

Pros of Plotly.js

  • More advanced and customizable charting options
  • Supports interactive and animated visualizations
  • Extensive documentation and community support

Cons of Plotly.js

  • Steeper learning curve due to its complexity
  • Larger file size, which may impact page load times
  • Requires more setup and configuration

Code Comparison

Chartkick example:

<%= line_chart User.group_by_day(:created_at).count %>

Plotly.js example:

Plotly.newPlot('myDiv', [{
  x: [1, 2, 3, 4],
  y: [10, 15, 13, 17],
  type: 'scatter'
}]);

Summary

Plotly.js offers more advanced features and customization options, making it suitable for complex data visualizations. However, it comes with a steeper learning curve and larger file size. Chartkick, on the other hand, provides a simpler and more straightforward approach to creating charts, making it ideal for quick implementations and basic visualizations. The choice between the two depends on the specific requirements of your project and the level of complexity needed in your charts.

📊 Interactive JavaScript Charts built on SVG

Pros of ApexCharts.js

  • More extensive chart types and customization options
  • Interactive features like zooming and panning
  • Responsive and mobile-friendly design

Cons of ApexCharts.js

  • Steeper learning curve due to more complex API
  • Larger file size, which may impact page load times
  • Requires more configuration for basic charts

Code Comparison

Chartkick:

<%= line_chart User.group_by_day(:created_at).count %>

ApexCharts.js:

var options = {
  chart: { type: 'line' },
  series: [{ data: [30, 40, 35, 50, 49, 60, 70] }],
  xaxis: { categories: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul'] }
};
var chart = new ApexCharts(document.querySelector("#chart"), options);
chart.render();

Chartkick offers a simpler, more concise syntax for basic charts, making it easier to quickly generate visualizations with minimal code. ApexCharts.js provides more granular control over chart appearance and behavior but requires more verbose configuration.

Both libraries have their strengths: Chartkick excels in simplicity and ease of use, particularly for Ruby on Rails applications, while ApexCharts.js offers more advanced features and customization options for complex data visualizations across various frameworks.

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JavaScript 3D Library.

Pros of three.js

  • Powerful 3D graphics rendering capabilities
  • Extensive documentation and large community support
  • Wide range of features for complex 3D visualizations

Cons of three.js

  • Steeper learning curve for beginners
  • Larger file size and potentially higher performance overhead
  • May be overkill for simple 2D chart creation

Code Comparison

three.js:

const scene = new THREE.Scene();
const camera = new THREE.PerspectiveCamera(75, window.innerWidth / window.innerHeight, 0.1, 1000);
const renderer = new THREE.WebGLRenderer();
renderer.setSize(window.innerWidth, window.innerHeight);
document.body.appendChild(renderer.domElement);

Chartkick:

new Chartkick.LineChart("chart-1", {"2021-01-01": 11, "2021-01-02": 6});

three.js is a comprehensive 3D graphics library, offering advanced features for creating complex 3D scenes and animations. It provides granular control over the rendering process and supports various 3D objects and effects.

Chartkick, on the other hand, is focused on simplifying the creation of charts and graphs. It offers a more straightforward API for generating common chart types with minimal code, making it easier for developers to quickly create data visualizations without dealing with low-level graphics programming.

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README

Chartkick

Create beautiful JavaScript charts with one line of Ruby. No more fighting with charting libraries!

See it in action

:fire: For admin charts and dashboards, check out Blazer, and for advanced visualizations, check out Vega

:two_hearts: A perfect companion to Groupdate, Hightop, and ActiveMedian

Build Status

Quick Start

Add this line to your application’s Gemfile:

gem "chartkick"

Then follow the instructions for your JavaScript setup:

This sets up Chartkick with Chart.js. For other charting libraries and frameworks, see these instructions.

Importmap

In config/importmap.rb, add:

pin "chartkick", to: "chartkick.js"
pin "Chart.bundle", to: "Chart.bundle.js"

And in app/javascript/application.js, add:

import "chartkick"
import "Chart.bundle"

esbuild, rollup.js, or Webpack

Run:

yarn add chartkick chart.js

And in app/javascript/application.js, add:

import "chartkick/chart.js"

Note: For rollup.js, this requires format: "iife" in rollup.config.js.

Webpacker

Run:

yarn add chartkick chart.js

And in app/javascript/packs/application.js, add:

import "chartkick/chart.js"

Sprockets

In app/assets/javascripts/application.js, add:

//= require chartkick
//= require Chart.bundle

Charts

Line chart

<%= line_chart User.group_by_day(:created_at).count %>

Pie chart

<%= pie_chart Goal.group(:name).count %>

Column chart

<%= column_chart Task.group_by_hour_of_day(:created_at, format: "%l %P").count %>

Bar chart

<%= bar_chart Shirt.group(:size).sum(:price) %>

Area chart

<%= area_chart Visit.group_by_minute(:created_at).maximum(:load_time) %>

Scatter chart

<%= scatter_chart City.pluck(:size, :population) %>

Geo chart - Google Charts

<%= geo_chart Medal.group(:country).count %>

Timeline - Google Charts

<%= timeline [
  ["Washington", "1789-04-29", "1797-03-03"],
  ["Adams", "1797-03-03", "1801-03-03"],
  ["Jefferson", "1801-03-03", "1809-03-03"]
] %>

Multiple series

<%= line_chart [
  {name: "Workout", data: {"2021-01-01" => 3, "2021-01-02" => 4}},
  {name: "Call parents", data: {"2021-01-01" => 5, "2021-01-02" => 3}}
] %>

or

<%= line_chart Feat.group(:goal_id).group_by_week(:created_at).count %>

Data

Data can be a hash, array, or URL.

Hash

<%= line_chart({"2021-01-01" => 2, "2021-01-02" => 3}) %>

Array

<%= line_chart [["2021-01-01", 2], ["2021-01-02", 3]] %>

URL

Make your pages load super fast and stop worrying about timeouts. Give each chart its own endpoint.

<%= line_chart completed_tasks_charts_path %>

And in your controller, pass the data as JSON.

class ChartsController < ApplicationController
  def completed_tasks
    render json: Task.group_by_day(:completed_at).count
  end
end

For multiple series, add chart_json at the end.

render json: Task.group(:goal_id).group_by_day(:completed_at).count.chart_json

Options

Id, width, and height

<%= line_chart data, id: "users-chart", width: "800px", height: "500px" %>

Min and max values

<%= line_chart data, min: 1000, max: 5000 %>

min defaults to 0 for charts with non-negative values. Use nil to let the charting library decide.

Min and max for x-axis - Chart.js

<%= line_chart data, xmin: "2021-01-01", xmax: "2022-01-01" %>

Colors

<%= line_chart data, colors: ["#b00", "#666"] %>

Stacked columns or bars

<%= column_chart data, stacked: true %>

Discrete axis

<%= line_chart data, discrete: true %>

Label (for single series)

<%= line_chart data, label: "Value" %>

Axis titles

<%= line_chart data, xtitle: "Time", ytitle: "Population" %>

Straight lines between points instead of a curve

<%= line_chart data, curve: false %>

Hide points

<%= line_chart data, points: false %>

Show or hide legend

<%= line_chart data, legend: false %>

Specify legend position

<%= line_chart data, legend: "bottom" %>

Donut chart

<%= pie_chart data, donut: true %>

Prefix, useful for currency - Chart.js, Highcharts

<%= line_chart data, prefix: "$" %>

Suffix, useful for percentages - Chart.js, Highcharts

<%= line_chart data, suffix: "%" %>

Set a thousands separator - Chart.js, Highcharts

<%= line_chart data, thousands: "," %>

Set a decimal separator - Chart.js, Highcharts

<%= line_chart data, decimal: "," %>

Set significant digits - Chart.js, Highcharts

<%= line_chart data, precision: 3 %>

Set rounding - Chart.js, Highcharts

<%= line_chart data, round: 2 %>

Show insignificant zeros, useful for currency - Chart.js, Highcharts

<%= line_chart data, round: 2, zeros: true %>

Friendly byte sizes - Chart.js

<%= line_chart data, bytes: true %>

Specify the message when data is loading

<%= line_chart data, loading: "Loading..." %>

Specify the message when data is empty

<%= line_chart data, empty: "No data" %>

Refresh data from a remote source every n seconds

<%= line_chart url, refresh: 60 %>

You can pass options directly to the charting library with:

<%= line_chart data, library: {backgroundColor: "#eee"} %>

See the documentation for Chart.js, Google Charts, and Highcharts for more info. For Chart.js plugins, check out this guide.

To customize datasets in Chart.js, use:

<%= line_chart data, dataset: {borderWidth: 10} %>

You can pass this option to individual series as well.

Global Options

To set options for all of your charts, create an initializer config/initializers/chartkick.rb with:

Chartkick.options = {
  height: "400px",
  colors: ["#b00", "#666"]
}

Customize the html

Chartkick.options[:html] = '<div id="%{id}" style="height: %{height};">%{loading}</div>'

You capture the JavaScript in a content block with:

Chartkick.options[:content_for] = :charts_js

Then, in your layout, use:

<%= yield :charts_js %>

For Padrino, use yield_content instead of yield.

This is great for including all of your JavaScript at the bottom of the page.

Multiple Series

You can pass a few options with a series:

  • name
  • data
  • color
  • dataset - Chart.js only
  • points - Chart.js only
  • curve - Chart.js only

Code

If you want to use the charting library directly, get the code with:

<%= line_chart data, code: true %>

The code will be logged to the JavaScript console. JavaScript functions cannot be logged, so it may not be identical.

Download Charts

Chart.js only

Give users the ability to download charts. It all happens in the browser - no server-side code needed.

<%= line_chart data, download: true %>

Safari will open the image in a new window instead of downloading.

Set the filename

<%= line_chart data, download: {filename: "boom"} %>

Set the background color

<%= line_chart data, download: {background: "#ffffff"} %>

Set title

<%= line_chart data, title: "Awesome chart" %>

Additional Charting Libraries

Google Charts

In your layout or views, add:

<%= javascript_include_tag "https://www.gstatic.com/charts/loader.js" %>

For Importmap (Rails 7 default), in config/importmap.rb, add:

pin "chartkick", to: "chartkick.js"

And in app/javascript/application.js, add:

import "chartkick"

For Webpacker (Rails 6 default), run:

yarn add chartkick

And in app/javascript/packs/application.js, add:

import "chartkick"

For Sprockets, in app/assets/javascripts/application.js, add:

//= require chartkick

To specify a language or Google Maps API key, use:

Chartkick.configure({language: "de", mapsApiKey: "..."})

before your charts.

Highcharts

For Importmap (Rails 7 default), run:

bin/importmap pin highcharts --download

And in config/importmap.rb, add:

pin "chartkick", to: "chartkick.js"

And in app/javascript/application.js, add:

import "chartkick"
import Highcharts from "highcharts"

window.Highcharts = Highcharts

For Webpacker (Rails 6 default), run:

yarn add chartkick highcharts

And in app/javascript/packs/application.js, add:

import "chartkick/highcharts"

For Sprockets, download highcharts.js into vendor/assets/javascripts (or use yarn add highcharts in Rails 5.1+), and in app/assets/javascripts/application.js, add:

//= require chartkick
//= require highcharts

Multiple Libraries

If more than one charting library is loaded, choose between them with:

<%= line_chart data, adapter: "google" %> <!-- or highcharts or chartjs -->

Sinatra and Padrino

Download chartkick.js and include it manually.

<script src="chartkick.js"></script>

Then include the charting library.

Chart.js - download Chart.js and the date-fns adapter bundle

<script src="chart.js"></script>
<script src="chartjs-adapter-date-fns.bundle.js"></script>

Google Charts

<script src="https://www.gstatic.com/charts/loader.js"></script>

Highcharts - download highcharts.js

<script src="highcharts.js"></script>

JavaScript API

Access a chart with:

var chart = Chartkick.charts["chart-id"]

Get the underlying chart object with:

chart.getChartObject()

You can also use:

chart.getElement()
chart.getData()
chart.getOptions()
chart.getAdapter()

Update the data with:

chart.updateData(newData)

You can also specify new options:

chart.setOptions(newOptions)
// or
chart.updateData(newData, newOptions)

Refresh the data from a remote source:

chart.refreshData()

Redraw the chart with:

chart.redraw()

Destroy the chart with:

chart.destroy()

Loop over charts with:

Chartkick.eachChart(function (chart) {
  // do something
})

Content Security Policy (CSP)

Check out how to configure CSP

Tutorials

Upgrading

5.0

If you use Importmap or Sprockets, update the gem and you’re good to go!

If you use esbuild, Webpack, or Webpacker, run:

yarn upgrade chartkick --latest

If you use Chart.js with esbuild, Webpack, or Webpacker, also run:

yarn upgrade chart.js --latest

History

View the changelog

Contributing

Everyone is encouraged to help improve this project. Here are a few ways you can help:

To get started with development:

git clone https://github.com/ankane/chartkick.git
cd chartkick
bundle install
bundle exec rake test

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