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Top JavaScript Charting Libraries

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Chart.js is a popular open-source JavaScript library for creating responsive and customizable charts and graphs.

Code Example

const ctx = document.getElementById('myChart').getContext('2d');
new Chart(ctx, {
    type: 'bar',
    data: { labels: ['A', 'B', 'C'], datasets: [{ data: [1, 2, 3] }] }
});

Pros

  • Simple and intuitive API, making it easy for beginners to create charts quickly
  • Lightweight and performant compared to some alternatives like Highcharts or Plotly
  • Extensive documentation and active community support

Cons

  • Limited advanced features compared to more comprehensive libraries like D3.js
  • Fewer chart types available out-of-the-box compared to some alternatives like ApexCharts
  • Less suitable for complex, interactive data visualizations compared to libraries like Plotly

Recharts is a composable charting library built on React components.

Code Example

import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend } from 'recharts';

<LineChart width={600} height={300} data={data}>
  <Line type="monotone" dataKey="pv" stroke="#8884d8" />
  <CartesianGrid stroke="#ccc" />
  <XAxis dataKey="name" />
  <YAxis />
  <Tooltip />
  <Legend />
</LineChart>

Pros

  • Seamless integration with React applications, leveraging React's component model
  • Highly customizable and flexible, allowing for complex chart compositions
  • Good performance due to its use of SVG elements and React's virtual DOM

Cons

  • Limited to React applications, not suitable for non-React projects
  • Steeper learning curve compared to some simpler charting libraries
  • Less extensive documentation and community support compared to more established libraries like Chart.js or Highcharts

Plotly Dash is a Python framework for building analytical web applications with interactive visualizations.

Code Example

import dash
import dash_core_components as dcc
import dash_html_components as html
app = dash.Dash(__name__)
app.layout = html.Div([dcc.Graph(id='example-graph')])

Pros

  • Offers a comprehensive solution for building full-stack data visualization applications
  • Integrates seamlessly with Plotly.js for creating interactive and customizable charts
  • Provides a wide range of pre-built components for rapid development

Cons

  • Steeper learning curve compared to simpler charting libraries like Chart.js or Recharts
  • May be overkill for basic charting needs or static visualizations
  • Requires more setup and configuration than lightweight alternatives

Plotly.js is a powerful JavaScript charting library that creates interactive, publication-quality graphs and charts for web applications.

Code Example

var data = [{x: [1, 2, 3], y: [2, 4, 8], type: 'scatter'}];
var layout = {title: 'Simple Line Chart'};
Plotly.newPlot('myDiv', data, layout);

Pros

  • Offers a wide variety of chart types and customization options, surpassing many other libraries in versatility.
  • Provides excellent interactivity features, including zooming, panning, and hover tooltips out of the box.
  • Supports both 2D and 3D visualizations, setting it apart from libraries like Chart.js or Recharts.

Cons

  • Has a steeper learning curve compared to simpler libraries like Chart.js or Chartist.
  • File size is larger than some alternatives, which may impact load times for web applications.
  • Can be more resource-intensive for rendering complex visualizations compared to lightweight options like Lightweight Charts.

Frappe Charts is a lightweight, modern, and interactive charting library for web applications.

Code Example

const chart = new frappe.Chart("#chart", {
  data: { labels: ["Mon", "Tue", "Wed"], datasets: [{ values: [18, 40, 30] }] },
  type: 'bar'
});

Pros

  • Simple and intuitive API for creating charts quickly
  • Lightweight and fast-rendering compared to some heavier alternatives
  • Supports interactive features like tooltips and animations out of the box

Cons

  • Limited chart types compared to more comprehensive libraries like Chart.js or Highcharts
  • Less customization options for advanced visualizations
  • Smaller community and ecosystem compared to more established charting libraries

All Top Projects

chartjs's avatar

Chart.js

65,005

Simple HTML5 Charts using the <canvas> tag

recharts's avatar

recharts

24,279

Redefined chart library built with React and D3

plotly's avatar

dash

21,687

Data Apps & Dashboards for Python. No JavaScript Required.

plotly's avatar

plotly.js

17,169

Open-source JavaScript charting library behind Plotly and Dash

frappe's avatar

charts

14,954

Simple, responsive, modern SVG Charts with zero dependencies

apexcharts's avatar

apexcharts.js

14,506

📊 Interactive JavaScript Charts built on SVG

chartist-js's avatar

chartist

13,354

Simple responsive charts

ag-grid's avatar

ag-grid

13,057

The best JavaScript Data Table for building Enterprise Applications. Supports React / Angular / Vue / Plain JavaScript.

highcharts's avatar

highcharts

12,099

Highcharts JS, the JavaScript charting framework

tradingview's avatar

lightweight-charts

10,078

Performant financial charts built with HTML5 canvas

didi's avatar

LogicFlow

8,955

A flow chart editing framework focus on business customization. 专注于业务自定义的流程图编辑框架,支持实现脑图、ER图、UML、工作流等各种图编辑场景。

adrai's avatar

flowchart.js

8,582

Draws simple SVG flow chart diagrams from textual representation of the diagram

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GoJS

7,865

JavaScript diagramming library for interactive flowcharts, org charts, design tools, planning tools, visual languages.

jwilber's avatar

roughViz

6,747

Reusable JavaScript library for creating sketchy/hand-drawn styled charts in the browser.

ankane's avatar

chartkick

6,363

Create beautiful JavaScript charts with one line of Ruby

flot's avatar

flot

5,942

Attractive JavaScript charts for jQuery

naver's avatar

billboard.js

5,854

📊 Re-usable, easy interface JavaScript chart library based on D3.js

nicolaskruchten's avatar

pivottable

4,365

Open-source Javascript Pivot Table (aka Pivot Grid, Pivot Chart, Cross-Tab) implementation with drag'n'drop.

vanila-io's avatar

wireflow

4,018

Wireflow - user flow chart real-time collaborative tool

i5ting's avatar

imove

3,752

INACTIVE: Move your mouse, generate code from flow chart

britecharts's avatar

britecharts

3,736

Composable Charting Library based on reusable D3.js components.

open-xml-templating's avatar

docxtemplater

3,097

Generate docx, pptx, and xlsx from templates (Word, Powerpoint and Excel documents), from Node.js or the browser. Demo: https://www.docxtemplater.com/demo. #docx #office #generator #templating #report #json #generate #generation #template #create #pptx #docx #xlsx #react #vuejs #angularjs #browser #typescript #image #html #table #chart

palantir's avatar

plottable

2,976

:bar_chart: A library of modular chart components built on D3

wa0x6e's avatar

cal-heatmap

2,745

Cal-Heatmap is a javascript charting library to create a time-series calendar heatmap

HumbleSoftware's avatar

Flotr2

2,444

Graphs and Charts for Canvas in JavaScript.

lipka's avatar

piecon

2,316

A tiny javascript library for generating progress pie charts in your favicon.

joewalnes's avatar

smoothie

2,256

Smoothie Charts: smooooooth JavaScript charts for realtime streaming data

DKirwan's avatar

calendar-heatmap

2,014

A d3 heatmap for representing time series data similar to github's contribution chart

zingchart's avatar

awesome-charting

2,007

A curated list of the best charting and dataviz resources that developers may find useful, including the best JavaScript charting libraries