Top JavaScript Charting Libraries
Top 5 Projects Compared
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
Chart.js
Simple HTML5 Charts using the <canvas> tag
recharts
Redefined chart library built with React and D3
dash
Data Apps & Dashboards for Python. No JavaScript Required.
plotly.js
Open-source JavaScript charting library behind Plotly and Dash
charts
Simple, responsive, modern SVG Charts with zero dependencies
apexcharts.js
📊 Interactive JavaScript Charts built on SVG
chartist
Simple responsive charts
ag-grid
The best JavaScript Data Table for building Enterprise Applications. Supports React / Angular / Vue / Plain JavaScript.
highcharts
Highcharts JS, the JavaScript charting framework
lightweight-charts
Performant financial charts built with HTML5 canvas
LogicFlow
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。
flowchart.js
Draws simple SVG flow chart diagrams from textual representation of the diagram
Visual CopilotPromo
Turn Figma designs into high-quality code using AI
GoJS
JavaScript diagramming library for interactive flowcharts, org charts, design tools, planning tools, visual languages.
roughViz
Reusable JavaScript library for creating sketchy/hand-drawn styled charts in the browser.
chartkick
Create beautiful JavaScript charts with one line of Ruby
flot
Attractive JavaScript charts for jQuery
billboard.js
📊 Re-usable, easy interface JavaScript chart library based on D3.js
pivottable
Open-source Javascript Pivot Table (aka Pivot Grid, Pivot Chart, Cross-Tab) implementation with drag'n'drop.
wireflow
Wireflow - user flow chart real-time collaborative tool
imove
INACTIVE: Move your mouse, generate code from flow chart
britecharts
Composable Charting Library based on reusable D3.js components.
docxtemplater
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
plottable
:bar_chart: A library of modular chart components built on D3
cal-heatmap
Cal-Heatmap is a javascript charting library to create a time-series calendar heatmap
Flotr2
Graphs and Charts for Canvas in JavaScript.
piecon
A tiny javascript library for generating progress pie charts in your favicon.
smoothie
Smoothie Charts: smooooooth JavaScript charts for realtime streaming data
calendar-heatmap
A d3 heatmap for representing time series data similar to github's contribution chart
awesome-charting
A curated list of the best charting and dataviz resources that developers may find useful, including the best JavaScript charting libraries