About
Backbone.js gives structure to web applications by providing models with key-value binding and custom events, collections with a rich API of enumerable functions, views with declarative event handling, and connects it all to your existing API over a RESTful JSON interface. When working on a web application that involves a lot of JavaScript, one of the first things you learn is to stop tying your data to the DOM. It's all too easy to create JavaScript applications that end up as tangled piles of jQuery selectors and callbacks, all trying frantically to keep data in sync between the HTML UI, your JavaScript logic, and the database on your server. For rich client-side applications, a more structured approach is often helpful. With Backbone, you represent your data as Models, which can be created, validated, destroyed, and saved to the server.
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About
D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation. D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. For example, you can use D3 to generate an HTML table from an array of numbers. Or, use the same data to create an interactive SVG bar chart with smooth transitions and interaction. D3 is not a monolithic framework that seeks to provide every conceivable feature. Instead, D3 solves the crux of the problem: efficient manipulation of documents based on data. This avoids proprietary representation and affords extraordinary flexibility, exposing the full capabilities of web standards such as HTML, SVG, and CSS.
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About
The JavaScript InfoVis Toolkit provides tools for creating interactive data visualizations for the web. The best way to start is to take a look at the demos page. Each demo has a See the Example Code link that takes you to the code for that example. The actual library code is included in the HTML file by building the lib each time with only the needed requirements taken from the name of the visualization and the build.json file. The required library code is built by the build.py file. In order to create a new visualization you need to set up the server environment to include test JavaScript files for your new visualization and also you need to add the new visualization files into the Source folder.
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About
A seamless JavaScript code coverage library. Blanket.js is a code coverage tool for JavaScript that aims to be easy to install, easy to use, and easy to understand. Blanket.js can be run seamlessly or can be customized for your needs. JavaScript code coverage compliments your existing JavaScript tests by adding code coverage statistics (which lines of your source code are covered by your tests). Parsing the code using Esprima and node-falafel, and instrumenting the file by adding code tracking lines. Connecting to hooks in the test runner to output the coverage details after the tests have been completed. A Grunt plugin has been created to allow you to use Blanket like a "traditional" code coverage tool (creating instrumented copies of physical files, as opposed to live-instrumenting). Runs the QUnit-based Blanket report headlessly using PhantomJS. Results are displayed on the console, and the task will cause Grunt to fail if any of your configured coverage thresholds are not met.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
JavaScript Library solution for developers
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Audience
Companies in search of a JavaScript library for manipulating documents
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Audience
Developers in need of a tool for creating interactive data visualizations for the web
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Audience
Developers seeking a solution to manage their code tracking processes and statistics
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationBackbone.js
backbonejs.org
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Company InformationMike Bostock
United States
d3js.org
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Company InformationSenchaLabs
Founded: 2013
United States
philogb.github.io/jit/
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Company InformationBlanket.js
github.com/alex-seville/blanket
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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Data Visualization Features
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
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Integrations
Axis LMS
Azure Static Web Apps
CodeLobster IDE
CoreIDE
JSON
JavaScript
Mocha
QUnit
TradingView Stock Widgets
Wink
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Integrations
Axis LMS
Azure Static Web Apps
CodeLobster IDE
CoreIDE
JSON
JavaScript
Mocha
QUnit
TradingView Stock Widgets
Wink
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Integrations
Axis LMS
Azure Static Web Apps
CodeLobster IDE
CoreIDE
JSON
JavaScript
Mocha
QUnit
TradingView Stock Widgets
Wink
|
Integrations
Axis LMS
Azure Static Web Apps
CodeLobster IDE
CoreIDE
JSON
JavaScript
Mocha
QUnit
TradingView Stock Widgets
Wink
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