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async-gravatar is a jQuery plugin that allows you to asynchronously replace placeholder images on your page with Gravatar avatar images to speed up page loading time.

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Documentation

jQuery async Gravatar

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An asynchronous loading method for Gravatar images.

Installation

With NPM

npm i jquery-async-gravatar 

Standalone

Include script after the jQuery library (unless you are packaging scripts somehow else):

<script src="/path/to/jquery.async-gravatar.min.js"></script>

Do not include the script directly from GitHub. The file is being served as text/plain and as such being blocked in Internet Explorer on Windows 7 for instance (because of the wrong MIME type). Bottom line: GitHub is not a CDN.

Usage

  • Use a default image instead of Gravatar image and pass the hash as a "data-gravatar_hash" attribute:
<img class="gravatar" alt="Gravatar" src="./test/default.jpg" data-gravatar_hash="THE_USER_GRAVATAR_HASH_HERE" />
  • Select all images and load asynchronous the Gravatars:
$( ".gravatar" ).asyncGravatar( {} );

Options

Option Description Default value
size Image size, which will be dynamically delivered from Gravatar. 64
default_img What happens when an email address has no matching Gravatar image? mm
force_https If you're displaying Gravatars on a page that is being served over SSL and it's not detected. false
rating Gravatar allows users to self-rate their images so that they can indicate if an image is appropriate for a certain audience. g

For more explication see official documentation.

Example

Example with images of "50px", with "identicon" as default image, with rating "pg" and using https:

$(".gravatar").asyncGravatar({     "size": "50",     "default_img": "identicon",     "force_https": true,     "rating": "pg" } );

Data attributes

You can also use data attributes on each images:

<img class="gravatar" alt="Gravatar" src="./test/default.jpg"      data-gravatar_hash="HASH"      data-gravatar_size="SIZE"      data-gravatar_default="DEFAULT_IMG"      data-gravatar_rating="RATING" />

License

Released under the MIT license.


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