Node.js images manipulation performance

Compare Node.js's modules for images processing request

v1.2.3

Modules instalation

node-canvas

Please, read extra instructions how to install node-canvas module here.

For example, you can quickly install the dependencies by using the command for your OS:

OS	Command
OS X	`brew install pkg-config cairo libpng jpeg giflib`
Ubuntu	`sudo apt-get install libcairo2-dev libjpeg8-dev libpango1.0-dev libgif-dev build-essential g++`
Fedora	`sudo yum install cairo cairo-devel cairomm-devel libjpeg-turbo-devel pango pango-devel pangomm pangomm-devel giflib-devel`
Solaris	`pkgin install cairo pkg-config xproto renderproto kbproto xextproto`
Windows	Instructions on our wiki

gm

sudo apt-get install imagemagick

sudo apt-get install graphicsmagick

Installing

Please read Modules instalation section before.

git clone https://github.com/ivanoff/images-manipulation-performance.git

cd images-manipulation-performance

npm install

Testing

npm test

Using

node index.js <source_folder> <result_folder>

where <source_folder> is foulder where original images are stored, <result_folder> is folder, where result images will be saved.

for example:

node index.js static/original static/result

Result example

Found images:
  4198671-green-sea-view.jpg
  Beautiful-Sea-Pier-In-Chile-Hdr-Wide-Desktop-Background-Wallpapers-Beautiful-Sea-Wallpaper-.jpg
  Bluestone-valley-view_-_Virginia_-_ForestWander.jpg
Found modules: canvas.js, gm-imagemagic.js, gm.js, lwip.js
== START ==
sharp.js : 9.501 img/sec; done in 10.525585 sec; minCPUidle: 95%; minFreeMem: 929Mb; MaxLoadAvg: 0.68
canvas.js : 8.246 img/sec; done in 12.12766 sec; minCPUidle: 95%; minFreeMem: 578Mb; MaxLoadAvg: 0.88
gm.js : 4.433 img/sec; done in 22.557112 sec; minCPUidle: 95%; minFreeMem: 791Mb; MaxLoadAvg: 1.18
gm-imagemagic.js : 3.654 img/sec; done in 27.367915 sec; minCPUidle: 95%; minFreeMem: 804Mb; MaxLoadAvg: 1.33
lwip.js : 1.203 img/sec; done in 83.126963 sec; minCPUidle: 95%; minFreeMem: 54Mb; MaxLoadAvg: 1.21
jimp.js : 0.445 img/sec; done in 224.879934 sec; minCPUidle: 95%; minFreeMem: 82Mb; MaxLoadAvg: 1.28
== DONE ==

In this example you can see, than sharp module is the best, regards to speed of processing of images (~9 imgages per second on my local computer)

License

Licensed under MIT License.

Created by

Dimitry, 2@ivanoff.org.ua .$ curl -A cv ivanoff.org.ua

google-master / images-manipulation-performance