white_dune is a graphical VRML97/X3DV editor, simple NURBS/Superformula 3D modeller, animation tool, and VRML97/X3DV commandline compiler in development. VRML97 (Virtual Reality Modeling Language) is the ISO standard for displaying 3D data over the Web via browser plugins ("HTML for realtime 3D"). X3DV is the direct successor of VRML97. VRML97 and X3DV have support for animation, real-time interaction, and multimedia (images, movies, and sounds). white_dune can read, create, and display VRML97/X3DV files and let the user change the scenegraph/fields. It also has support for stereoscopic view via "quadbuffer"-capable stereo visuals, and support for 3D input devices like a joystick, spaceball, or magnetic tracker.
nut is nutrition software to record what you eat and analyze your meals for nutrient composition. The database included is the latest USDA Nutrient Database for Standard Reference. This database contains values for vitamins, minerals, fats, calories, protein, carbohydrates, fiber, etc., and includes the essential polyunsaturated fats, Omega-3 and Omega-6. Nutrient levels are expressed as a percentage of the Daily Value, the familiar standard of food labeling in the United States, but also can be fully customized. Foods can be added from recipes or food labels, and nutrient intake can be graphed. The program is completely menu-driven and there are no commands to learn.
Racket (formerly PLT Scheme) is a programming language suitable for implementation tasks ranging from scripting to application development, including GUIs, Web services, etc. It includes the DrRacket programming environment, a virtual machine with a just-in-time compiler, tools for creating stand-alone executables, the Racket Web server, extensive libraries, documentation for both beginners and experts, and more. It supports the creation of new programming languages through a rich, expressive syntax system. Example languages include Typed Racket, ACL2, FrTime, and Lazy Racket.
LRZIP is a compression program and library that can achieve very high compression ratios and speed when used with large files using unlimited sized compression windows. It uses the combined compression algorithms of zpaq and lzma for maximum compression, lzo for maximum speed, and the long range redundancy reduction of rzip. It is designed to scale with increases with RAM size, improving compression further. A choice of either size or speed optimizations allows for either better compression than even lzma can provide, or better speed than gzip, but with bzip2 sized compression levels. It also has high grade password protected encryption and full STDIN/STDOUT support.
SHOGUN is a machine learning toolbox whose focus is on large scale kernel methods and especially on Support Vector Machines (SVM). It provides a generic SVM object interfacing to several different SVM implementations, all making use of the same underlying, efficient kernel implementations. Apart from SVMs and regression, SHOGUN also features a number of linear methods like Linear Discriminant Analysis (LDA), Linear Programming Machine (LPM), (Kernel) Perceptrons, and algorithms to train hidden Markov models. SHOGUN can be used from within C++, Matlab, R, Octave, and Python.
GRASS (the Geographic Resources Analysis Support System) is a software raster- and vector-based GIS (Geographic Information System), image processing system, graphics production system, and spatial modeling system. It contains many modules for raster data manipulation, vector data manipulation, rendering images on the monitor or paper, multispectral image geocoding and processing, point data management and general data management. It also has tools for interfacing with digitizers, scanners, and the PostgreSQL, DBF, and ODBC connected databases. GRASS operates on all common operating systems.
SIP provides image processing, pattern recognition, and computer vision routines for SciLab, a Matlab-like matrix-oriented programming environment. SIP is able to read/write images in almost 90 major formats, including JPEG, PNG, BMP, GIF, FITS, and TIFF. It includes routines for filtering, segmentation, edge detection, morphology, curvature, fractal dimension, distance transforms, multiscale skeletons, and more.
Bandwidth is primarily a memory bandwidth benchmark, but it can also measure network bandwidth. It measures the maximum memory bandwidth of each part of the memory system, including main memory, L1, L2, and L3 caches, framebuffer memory, and register-to-register. For many tests, it performs both sequential memory accesses as well as random memory accesses to provide a more real-world performance estimate. The tests support Linux (Intel), Windows/Cygwin, and Mac OS X. Its core routines are in assembly for x86 and x86-64 architectures with both SSE4 and AVX support. Bandwidth also includes automatic graphing of the results, stored to a BMP image file. The network bandwidth tests support Linux, Mac OS X, and Windows/Cygwin.