The PVM patch for POV-Ray gives POV the ability to distribute a rendering across multiple heterogeneous systems. Using the PVM code, there is one master and many slave tasks. The master has the responsibility of dividing the image up into small blocks, which are assigned to the slaves. When the slaves have finished rendering the blocks, they are sent back to the master, which combines them to form the final image.
QGLViewer allows people programming in OpenGL to play around with three dimensional scenes or to write software that uses OpenGL. It provides a set of classes for camera control, as well as comfortable user interface that allows you to control your viewing parameters via mouse and buttons. A framework for camera paths and their interpolation is provided, as is a simple scene tree. QGLViewer is object oriented and programmed in C++ such that the programmer simply instantiates a viewer and connects it to their own render routines.
Quat is a program for generation of 3d fractal objects. These objects are Julia sets using quaternions. Features include calculation of usual images and stereo pair images for real 3d views, a user-specified true color palette for flexible coloring, 5 iteration formulas, and intersection planes to view the interior of the three-dimensional fractal. A text mode version for batch calculation is also available.
Quick Image Viewer (qiv) is a very small and fast GDK/Imlib image viewer designed to replace the classic image viewers like xv or xloadimage. It features setting an image as an X11 background with a user-definable background color, fullscreen viewing, a screensaver mode, brightness/contrast/gamma correction, real transparency, zoom, slideshow, support for external programs, and more. It runs on Linux (libc5/glibc), Solaris (SunOS), FreeBSD, and HP-UX.
R is a language and environment for statistical computing and graphics. It is similar to S, which was developed at Bell Laboratories by John Chambers et al. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc.). R is designed as a true computer language with control-flow constructions for iteration and alternation, and it allows users to add additional functionality by defining new functions. For computationally intensive tasks, Fortran and C code can be linked and called at run time.