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 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
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
ag-grid
The best JavaScript Data Table for building Enterprise Applications. Supports React / Angular / Vue / Plain JavaScript.
chartist
Simple responsive charts
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
awesome-charting
A curated list of the best charting and dataviz resources that developers may find useful, including the best JavaScript charting libraries
calendar-heatmap
A d3 heatmap for representing time series data similar to github's contribution chart