Quru Image Server
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High performance dynamically resizing image server offering directory based access control cropping, rotation, color management and other tools.
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QIS is a high performance web server for creating and delivering dynamic images. It is ideal for use in conjunction with your existing web site, for applications such as image galleries and product catalogues. Some of the application features are listed below, but for more information you can also read the application introduction and overview.
Quru has been using QIS in production since 2012, and the source code of the Standard Edition is made available here under the Affero GPL license.
Quru also offers a Premium Edition of QIS. This consists of a more fully featured image processing engine, plus the option of obtaining professional services and commercial support, for a modestly priced annual subscription.
Try it now on your own server, on Docker, or on Amazon Web Services
With QIS it is a breeze to serve HTML5 responsive images without having to manually resize or store multiple copies of the same image.
First we upload a single high resolution image africa_dxm.png.
With different URLs we can then request scaled and cropped versions of the original:
and with a snippet of HTML we can ask the web browser to download whichever one of these is most appropriate for the screen size for the device (desktop, tablet, or phone):
<div style="width:33%">
<img src="https://images.quru.com/image?src=nasa/africa_dxm.png&format=jpg&width=500"
alt="NASA picture of planet Earth"
srcset="https://images.quru.com/image?src=nasa/africa_dxm.png&format=jpg&width=300 300w,
https://images.quru.com/image?src=nasa/africa_dxm.png&format=jpg&width=200 200w,
https://images.quru.com/image?src=nasa/africa_dxm.png&format=jpg&width=100&left=0.15&top=0.15&right=0.7&bottom=0.7 100w"
sizes="33vw" />
</div>
You might notice we have also converted the image from png to jpg format,
to achieve smaller file sizes. These scaled images are automatically created
on-demand, and are then stored in a memory cache so that they are instantly
available next time around. The original image file is stored in a directory
on the server and is never modified.
Dynamic image operations include:
See the imaging user's guide for a full list, or try the online demo.
Image presentation features include:
Programmatic features include:
See the API user's guide for more detail.
Management features in the web interface include:
JavaScript library - image gallery (incorporating zooming viewer)
Web interface - folder browse - list view
Web interface - folder browse - thumbnail view
Web interface - image details
Web interface - image publishing
See the installation and running guide for how to run QIS on your own server, on Docker, or on Amazon Web Services.
If you are a developer wanting to make code changes to the application, see the development guide for how to set up the project and run the application in development mode.
QIS v3 is a port of QIS v2.7 to run on Python 3 only. It contains a few tidy-ups, slightly better performance thanks to improvements in Python 3, but otherwise adds no major new features.
QIS v4 is the first release to be fully open source. It adds an image processing module built on the Pillow library and becomes the new QIS Standard Edition. An optional more fully featured image processing module, built on the ImageMagick package, is available from Quru and becomes QIS Premium Edition.
The fully open source Standard Edition uses the Python-Pillow imaging library,
which is well suited to basic image resizing and cropping, and offers good
performance when colour accuracy is not critical (see the
IMAGE_RESIZE_GAMMA_CORRECT setting) and when only
support for the most common file types is required.
The optional upgrade to the Premium Edition swaps Pillow for a proprietary interface to the ImageMagick, Ghostscript and LibRaw packages, bringing these advantages:
** Depending on the installed version of ImageMagick, but typically enabled by default
Topics under consideration for future versions, in no particular order:
data- attributes for automatic initialisationqis-cache databasePlease login to review this project.
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