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Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Javascript Canvas Library, SVG-to-Canvas (& canvas-to-SVG) Parser
The Swiss Army Knife of Vector Graphics Scripting – Scriptographer ported to JavaScript and the browser, using HTML5 Canvas. Created by @lehni & @puckey
The Easel Javascript library provides a full, hierarchical display list, a core interaction model, and helper classes to make working with the HTML5 Canvas element much easier.
Highcharts JS, the JavaScript charting framework
Simple HTML5 Charts using the <canvas> tag
Quick Overview
Raphaël is a small JavaScript library that simplifies working with vector graphics on the web. It provides a powerful and easy-to-use API for creating and manipulating SVG and VML graphics, making it cross-browser compatible and suitable for various visualization tasks.
Pros
- Cross-browser compatibility, including older versions of Internet Explorer
- Simple and intuitive API for creating and manipulating vector graphics
- Lightweight and fast performance
- Extensive documentation and active community support
Cons
- Limited support for complex animations compared to more modern libraries
- Not actively maintained in recent years
- Lacks some advanced features found in newer SVG manipulation libraries
- Performance may suffer when dealing with a large number of elements
Code Examples
Creating a basic circle:
var paper = Raphael(0, 0, 500, 500);
var circle = paper.circle(100, 100, 50);
circle.attr({
fill: "#ff0000",
stroke: "#000000",
"stroke-width": 2
});
Drawing a path:
var paper = Raphael(0, 0, 500, 500);
var path = paper.path("M100,100L200,200");
path.attr({
stroke: "#0000ff",
"stroke-width": 5
});
Adding interactivity:
var paper = Raphael(0, 0, 500, 500);
var rect = paper.rect(50, 50, 100, 100);
rect.attr({fill: "#00ff00"});
rect.hover(function() {
this.animate({fill: "#ff0000"}, 500);
}, function() {
this.animate({fill: "#00ff00"}, 500);
});
Getting Started
To get started with Raphaël, follow these steps:
- Include the Raphaël library in your HTML file:
<script src="https://cdnjs.cloudflare.com/ajax/libs/raphael/2.3.0/raphael.min.js"></script>
- Create a container element in your HTML:
<div id="canvas-container"></div>
- Initialize Raphaël and start creating graphics:
var paper = Raphael("canvas-container", 500, 500);
var circle = paper.circle(250, 250, 50);
circle.attr({
fill: "#ff0000",
stroke: "#000000",
"stroke-width": 2
});
This will create a red circle with a black border in the center of a 500x500 canvas. You can now explore the Raphaël documentation to learn more about its capabilities and create more complex graphics and interactions.
Competitor Comparisons
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Pros of D3
- More powerful and flexible for complex data visualizations
- Supports a wide range of chart types and custom visualizations
- Better performance for large datasets and dynamic updates
Cons of D3
- Steeper learning curve and more complex API
- Requires more code for basic charts and visualizations
- Less browser compatibility for older versions
Code Comparison
Raphael:
var paper = Raphael(0, 0, 500, 500);
var circle = paper.circle(100, 100, 50);
circle.attr("fill", "#ff0000");
D3:
var svg = d3.select("body").append("svg")
.attr("width", 500)
.attr("height", 500);
var circle = svg.append("circle")
.attr("cx", 100)
.attr("cy", 100)
.attr("r", 50)
.style("fill", "#ff0000");
Summary
Raphael is simpler and easier to use for basic SVG graphics, while D3 offers more power and flexibility for complex data visualizations. Raphael has better browser compatibility, especially for older versions, but D3 provides better performance for large datasets and dynamic updates. The choice between the two depends on the specific requirements of your project and the complexity of the visualizations you need to create.
Javascript Canvas Library, SVG-to-Canvas (& canvas-to-SVG) Parser
Pros of Fabric.js
- More comprehensive object model with support for complex shapes and groups
- Built-in support for interactive elements and event handling
- Better performance for complex canvas manipulations and animations
Cons of Fabric.js
- Steeper learning curve due to more extensive API
- Larger file size, which may impact load times for simpler projects
- Less suitable for SVG-specific tasks compared to Raphael
Code Comparison
Raphael:
var paper = Raphael(0, 0, 500, 500);
var circle = paper.circle(100, 100, 50);
circle.attr("fill", "#ff0000");
Fabric.js:
var canvas = new fabric.Canvas('canvas');
var circle = new fabric.Circle({
radius: 50, fill: '#ff0000', left: 100, top: 100
});
canvas.add(circle);
Both libraries allow for creating and manipulating shapes, but Fabric.js provides a more object-oriented approach with its Canvas and object model. Raphael focuses on SVG manipulation, while Fabric.js offers a broader range of canvas-based features and interactivity.
The Swiss Army Knife of Vector Graphics Scripting – Scriptographer ported to JavaScript and the browser, using HTML5 Canvas. Created by @lehni & @puckey
Pros of Paper.js
- More powerful vector graphics capabilities, including advanced path manipulation and boolean operations
- Built-in scene graph and layer management for complex drawings
- Extensive documentation and tutorials for easier learning
Cons of Paper.js
- Larger file size and potentially slower performance for simpler projects
- Steeper learning curve due to its more comprehensive feature set
- Less widespread adoption compared to Raphael
Code Comparison
Paper.js:
paper.setup('myCanvas');
var path = new paper.Path();
path.strokeColor = 'black';
path.moveTo(new paper.Point(30, 75));
path.lineTo(new paper.Point(30, 25));
Raphael:
var paper = Raphael("container", 500, 300);
var path = paper.path("M30 75L30 25");
path.attr({stroke: "black"});
Both libraries allow for creating and manipulating vector graphics, but Paper.js offers more advanced features and a different syntax. Paper.js uses a more object-oriented approach, while Raphael focuses on simplicity and compatibility with older browsers. The choice between the two depends on project requirements, desired features, and target audience.
The Easel Javascript library provides a full, hierarchical display list, a core interaction model, and helper classes to make working with the HTML5 Canvas element much easier.
Pros of EaselJS
- More comprehensive library for creating interactive graphics and animations
- Better suited for complex game development and rich media applications
- Offers a robust event system and touch support for mobile devices
Cons of EaselJS
- Steeper learning curve due to its more extensive feature set
- Larger file size, which may impact load times for simpler projects
- Less suitable for basic SVG manipulation tasks
Code Comparison
EaselJS:
var stage = new createjs.Stage("canvas");
var circle = new createjs.Shape();
circle.graphics.beginFill("red").drawCircle(0, 0, 50);
circle.x = 100;
circle.y = 100;
stage.addChild(circle);
stage.update();
Raphael:
var paper = Raphael("canvas", 200, 200);
var circle = paper.circle(100, 100, 50);
circle.attr("fill", "red");
EaselJS provides a more object-oriented approach with separate Stage and Shape objects, while Raphael offers a simpler API for basic SVG manipulation. EaselJS is better suited for complex animations and interactive graphics, whereas Raphael excels in lightweight SVG creation and manipulation for simpler use cases.
Highcharts JS, the JavaScript charting framework
Pros of Highcharts
- More comprehensive and feature-rich charting library
- Extensive documentation and examples
- Regular updates and active community support
Cons of Highcharts
- Commercial license required for most use cases
- Steeper learning curve due to more complex API
- Larger file size and potentially slower performance
Code Comparison
Raphael (creating a simple circle):
var paper = Raphael(0, 0, 500, 500);
var circle = paper.circle(100, 100, 50);
circle.attr("fill", "#ff0000");
Highcharts (creating a basic chart):
Highcharts.chart('container', {
series: [{
data: [1, 2, 3, 4, 5]
}]
});
Summary
Raphael is a lightweight SVG library focused on basic vector graphics, while Highcharts is a comprehensive charting solution. Raphael offers more flexibility for custom graphics but requires more manual work. Highcharts provides ready-to-use chart types but comes with licensing costs. Choose Raphael for simple vector graphics or custom visualizations, and Highcharts for complex, interactive charts with minimal coding effort.
Simple HTML5 Charts using the <canvas> tag
Pros of Chart.js
- Specialized for creating charts and graphs
- Extensive documentation and community support
- Responsive and mobile-friendly out of the box
Cons of Chart.js
- Limited to chart-specific visualizations
- Less flexibility for custom graphics compared to Raphael
Code Comparison
Chart.js example:
const ctx = document.getElementById('myChart').getContext('2d');
new Chart(ctx, {
type: 'bar',
data: {
labels: ['Red', 'Blue', 'Yellow'],
datasets: [{
label: 'My Dataset',
data: [12, 19, 3]
}]
}
});
Raphael example:
const paper = Raphael("canvas", 500, 300);
const circle = paper.circle(100, 100, 50);
circle.attr("fill", "#f00");
circle.attr("stroke", "#000");
Chart.js is designed specifically for creating charts and graphs, offering a wide range of built-in chart types and options. It provides responsive and mobile-friendly charts out of the box, making it easier to create interactive visualizations for web applications.
On the other hand, Raphael is a more general-purpose vector graphics library, offering greater flexibility for creating custom graphics and animations. While it can be used to create charts, it requires more manual work and custom implementation.
Chart.js has extensive documentation and a large community, which can be beneficial for developers seeking support and examples. However, it's limited to chart-specific visualizations, whereas Raphael allows for a broader range of graphic possibilities.
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Raphaël: Cross-browser vector graphics the easy way
Visit the library website for more information: http://raphaeljs.com https://dmitrybaranovskiy.github.io/raphael/
Quickstart guide
You need to have NPM installed to build the library.
git clone https://github.com/DmitryBaranovskiy/raphael.git
yarn install --frozen-lockfile
yarn build-all
To run tests you need to run npx bower install
open dev/test/index.html
in your browser, there's no automated way right now.
Dependencies
Distributable
All files are UMD compliant.
You can use:
raphael.min.js
(includeseve
and it's minified)raphael.js
(includeseve
and it's not minified)raphael.no-deps.js
(doesn't includeeve
it's not minified)raphael.no-deps.min.js
(doesn't includeeve
it's minified)
Where to start
Check Raphael-boilerplate to see examples of loading.
Raphael can be loaded in a script tag or with AMD:
define([ "path/to/raphael" ], function( Raphael ) {
console.log( Raphael );
});
Development
Versions will be released as we gather and test new PRs. As there are a lot of browsers being supported it might take a while to accept a PR, we will use the feedback from other users too.
You can use the raphaelTest.html
to try things, you need to start a server in the root dir to start testing things there.
Something like running python -m SimpleHTTPServer
in the raphael
directory and hitting http://localhost:8000/dev/raphaelTest.html
with the browser. You should run npm run start
before this can work.
Collaborators
Related Projects
Books
Copyright and license
Copyright © 2008-2013 Dmitry Baranovskiy (http://dmitrybaranovskiy.github.io/raphael/
)
Copyright © 2008-2013 Sencha Labs (http://sencha.com
)
Licensed under the MIT (http://dmitrybaranovskiy.github.io/raphael/license.html
) license.
Top Related Projects
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Javascript Canvas Library, SVG-to-Canvas (& canvas-to-SVG) Parser
The Swiss Army Knife of Vector Graphics Scripting – Scriptographer ported to JavaScript and the browser, using HTML5 Canvas. Created by @lehni & @puckey
The Easel Javascript library provides a full, hierarchical display list, a core interaction model, and helper classes to make working with the HTML5 Canvas element much easier.
Highcharts JS, the JavaScript charting framework
Simple HTML5 Charts using the <canvas> tag
Convert designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual Copilot