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
- Easy to use with a simple API and extensive documentation
- Lightweight and performant compared to some alternatives like Highcharts or D3.js
- Offers a wide range of chart types and customization options out of the box
Cons
- Limited advanced features compared to more complex libraries like D3.js
- Less suitable for large datasets or real-time data visualization than some alternatives
- Lacks some specialized chart types available in niche libraries like Britecharts or Billboard.js
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 />
</LineChart>
Pros
- Seamless integration with React applications
- Highly customizable and flexible chart components
- Good performance due to its use of SVG elements
Cons
- Limited to React-based projects
- Fewer chart types compared to some other libraries like Chart.js or Highcharts
- Learning curve can be steeper for developers not familiar with React concepts
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
- Combines the power of Plotly.js with React and Flask for full-stack web application development
- Offers a wide range of built-in components for creating complex dashboards
- Seamless integration with Python data science libraries like Pandas and NumPy
Cons
- Steeper learning curve compared to simpler charting libraries like Chart.js or Recharts
- May be overkill for basic visualization needs
- Requires more setup and configuration than standalone JavaScript charting libraries
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 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 larger file size compared to lightweight alternatives like Chart.js or Chartist
- Steeper learning curve due to its extensive API, making it potentially overwhelming for beginners
- While free for open-source use, commercial use requires a license, unlike some fully open-source alternatives
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 basic charts quickly
- Lightweight and fast, with a small file size compared to some larger charting libraries
- Modern and visually appealing design out of the box
Cons
- Limited chart types and customization options compared to more comprehensive libraries like Chart.js or Highcharts
- Lacks advanced features such as real-time updates or complex data visualizations found in libraries like Plotly.js
- Smaller community and ecosystem compared to more established charting libraries, potentially resulting in fewer resources and third-party extensions
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
flowchart.js
Draws simple SVG flow chart diagrams from textual representation of the diagram
GoJS
JavaScript diagramming library for interactive flowcharts, org charts, design tools, planning tools, visual languages.
Visual CopilotPromo
Turn Figma designs into high-quality code using AI
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
vizzu-lib
Library for animated data visualizations and data stories.