npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

cimg.cxx

v3.6.5

Published

The CImg Library is a small and open-source C++ toolkit for image processing; GREYC (2018).

Downloads

106

Readme

Logo

http://cimg.eu

Build

The CImg Library is a small and open-source C++ library for image processing, designed with these properties in mind:

Usefulness CImg defines classes and methods to manage images in your own C++ code. You can use CImg to load/save various file formats, access pixel values, display/transform/filter images, draw primitives (text, faces, curves, 3d objects, ...), compute statistics, manage user interactions on images, and so on...

Genericity CImg defines a single image class able to represent datasets having up to 4-dimensions (from 1d scalar signals to 3d hyperspectral volumetric images), with template pixel types (bool,char,int,float,...). It also handles image collections and sequences.

Portability CImg is self-contained, thread-safe and highly portable. It fully works on different operating systems (Unix,Windows,MacOS X,*BSD,...) and is compatible with various C++ compilers (Visual C++,g++,clang++,icc,...).

Simplicity CImg is lightweight. It is made of a single header file CImg.h that must be included in your C++ source. It defines only four different classes, encapsulated in the namespace cimg_library. It can be compiled using a minimal set of standard C++ and system libraries only. No need for exotic or complex dependencies.

Extensibility Although not mandatory, CImg can use functionalities of external tools/libraries such as FFMPEG, FFTW3, GraphicsMagick, ImageMagick, libcurl, libjpeg, libpng, libtiff, Magick++, OpenEXR, OpenCV, OpenMP or XMedCon. Moreover, a simple plug-in mechanism allows any user to directly enhance the library capabilities according to their needs.

Freedom CImg is a free, open-source library distributed under the CeCILL-C (close to the GNU LGPL) or CeCILL (compatible with the GNU GPL) licenses. It can be used in commercial applications.


Run:

$ npm i cimg.cxx

And then include cimg.h as follows:

// main.cxx
#include "node_modules/cimg.cxx/cimg.h"

int main() { /* ... */ }

And then compile with clang++ or g++ as usual.

$ clang++ main.cxx  # or, use g++
$ g++     main.cxx

You may also use a simpler approach:

// main.cxx
#include <cimg.h>

int main() { /* ... */ }

If you add the path node_modules/cimg.cxx to your compiler's include paths.

$ clang++ -I./node_modules/cimg.cxx main.cxx  # or, use g++
$ g++     -I./node_modules/cimg.cxx main.cxx

CImg stands for Cool Image : It is easy to use, efficient and is intended to be a very pleasant toolbox to design image processing algorithms in C++. Due to its generic conception, it can cover a wide range of image processing applications. It is developed and maintained by the GREYC laboratory (Caen, France).


ORG