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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

  • Easy to use and learn, with clear documentation and a simple API
  • Lightweight and performant, with a small file size compared to some alternatives
  • Highly customizable, offering a wide range of chart types and styling options

Cons

  • Limited advanced features compared to more complex libraries like Highcharts or D3.js
  • Less suitable for large datasets or real-time data visualization than some alternatives
  • Lacks some specialized chart types available in niche libraries (e.g., financial charts in TradingView)

Recharts is a composable charting library built on React components.

Code Example

import { LineChart, Line, XAxis, YAxis } from 'recharts';
const data = [{ name: 'A', value: 10 }, { name: 'B', value: 20 }];
<LineChart data={data}><XAxis dataKey="name" /><YAxis /><Line dataKey="value" /></LineChart>

Pros

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

  • Integrates seamlessly with Plotly's powerful charting library, offering a wide range of interactive and customizable visualizations
  • Provides a full-stack solution for building data applications, combining frontend and backend in a single Python framework
  • Offers reactive programming capabilities, allowing for the creation of dynamic, data-driven applications

Cons

  • Steeper learning curve compared to some simpler charting libraries like Chart.js or Recharts
  • May be overkill for basic charting needs, as it's designed for building full-fledged web applications
  • Performance can be slower than lightweight alternatives, especially for large datasets or complex applications

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, 6, 3], type: 'scatter'}];
var layout = {title: 'Simple Scatter Plot'};
Plotly.newPlot('myDiv', data, layout);

Pros

  • Offers a wide range of chart types and customization options, surpassing many competitors in versatility
  • Provides excellent interactivity features out-of-the-box, including zooming, panning, and hover tooltips
  • 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
  • Larger file size than some alternatives, which may impact page load times for performance-critical applications
  • Can be more resource-intensive for rendering complex charts, potentially affecting performance on low-end devices

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

Code Example

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

Pros

  • Simple and intuitive API, making it easy to create charts quickly
  • Lightweight and fast-rendering, suitable for performance-sensitive applications
  • Aesthetically pleasing default design with minimal configuration required

Cons

  • Limited chart types compared to more comprehensive libraries like Chart.js or Highcharts
  • Fewer customization options than some of the more advanced charting libraries
  • Smaller community and ecosystem compared to more established projects like D3.js or Plotly

All Top Projects

chartjs's avatar

Chart.js

66,139

Simple HTML5 Charts using the <canvas> tag

recharts's avatar

recharts

25,485

Redefined chart library built with React and D3

plotly's avatar

dash

23,234

Data Apps & Dashboards for Python. No JavaScript Required.

plotly's avatar

plotly.js

17,693

Open-source JavaScript charting library behind Plotly and Dash

frappe's avatar

charts

15,025

Simple, responsive, modern SVG Charts with zero dependencies

apexcharts's avatar

apexcharts.js

14,819

📊 Interactive JavaScript Charts built on SVG

ag-grid's avatar

ag-grid

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

chartist-js's avatar

chartist

13,378

Simple responsive charts

highcharts's avatar

highcharts

12,293

Highcharts JS, the JavaScript charting framework

tradingview's avatar

lightweight-charts

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Performant financial charts built with HTML5 canvas

didi's avatar

LogicFlow

10,030

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。

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flowchart.js

8,649

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

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GoJS

8,187

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

jwilber's avatar

roughViz

6,789

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

ankane's avatar

chartkick

6,447

Create beautiful JavaScript charts with one line of Ruby

flot's avatar

flot

5,935

Attractive JavaScript charts for jQuery

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billboard.js

5,917

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

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pivottable

4,418

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

vanila-io's avatar

wireflow

4,101

Wireflow - user flow chart real-time collaborative tool

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imove

3,742

INACTIVE: Move your mouse, generate code from flow chart

britecharts's avatar

britecharts

3,734

Composable Charting Library based on reusable D3.js components.

open-xml-templating's avatar

docxtemplater

3,327

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

3,017

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

wa0x6e's avatar

cal-heatmap

2,915

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

HumbleSoftware's avatar

Flotr2

2,441

Graphs and Charts for Canvas in JavaScript.

lipka's avatar

piecon

2,312

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

joewalnes's avatar

smoothie

2,266

Smoothie Charts: smooooooth JavaScript charts for realtime streaming data

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awesome-charting

2,042

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

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calendar-heatmap

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