BRL-CAD is a powerful constructive solid geometry solid modeling system that includes an interactive geometry editor, ray-tracing support for rendering and geometric analysis, path-tracing for realistic image synthesis, network distributed framebuffer support, and image and signal-processing tools.
gpsd is a daemon that listens to a GPS or Loran receiver and translates the positional data into a simplified format that can be more easily used by other programs, like chart plotters. The package comes with a sample client that plots the location of the currently visible GPS satellites (if available) and a speedometer. It can also use DGPS/ip.
Warewulf is an operating system management toolkit designed to facilitate large scale deployments of homogeneous and heterogeneous systems on physical, virtual and cloud based infrastructures. Originally, the Warewulf project pioneered the concept of stateless computing in HPC, setting the standard for large-scale cluster provisioning. It provided two functions, provisioning and monitoring but the two functions did not communicate within Warewulf itself, nor was it possible to hook other functions directly into Warewulf itself. Today, Warewulf is more than just a basic provisioning and monitoring solution as it now implements an abstract, object-oriented data store and a modular interface that facilitates a highly extensible, customizable feature set. Current and planned modules include monitoring (operating system, services, filesystems, etc.), provisioning, power management, user management, configuration management, event/trigger handling and notification, scheduler integration, cloud services (both local and remote), etc.
The Visualization ToolKit (VTK) is an object oriented software system for 3D computer graphics, image processing, and visualization. VTK includes a textbook, a C++ class library, and several interpreted interface layers including Tcl/Tk, Java, and Python. VTK supports a wide variety of visualization algorithms including scalar, vector, tensor, texture, and volumetric methods. It also supports advanced modeling techniques like implicit modeling, polygon reduction, mesh smoothing, cutting, contouring, and Delaunay triangulation. Moreover, dozens of imaging algorithms have been integrated into the system. This allows mixing 2D imaging / 3D graphics algorithms and data.
QuantLib is a cross-platform, quantitative finance C++ library for modeling, pricing, trading, and risk management in real-life. It is also wrapped as Python/Ruby/Scheme modules. Extensions for Excel, R, and Mathematica are available. Other such extensions are under consideration. QuantLib offers tools that are useful both for practical implementation and for advanced modeling. It features market conventions, yield curve models, solvers, PDEs, Monte Carlo (low-discrepancy included), exotic options, VAR, and so on.
LAM/MPI is an implementation of the Message Passing Interface (MPI) parallel standard that is especially friendly to clusters. It includes a persistent runtime environment for parallel programs, support for all of MPI-1, and a good chunk of MPI-2, such as all of the dynamic functions, one-way communication, C++ bindings, and MPI-IO.
Visualization Library is C++ middleware for high-performance 2D and 3D graphics applications based on the industry standard OpenGL 1.x-4.x, designed to develop portable applications for the Windows, Linux and Mac OS X operating systems. It supports advanced features like OpenGL Shading Language, Volume Rendering, Isosurface extraction, Frame Buffer Objects, Multiple Render Targets, Vertex and Pixel Buffer Objects, KdTree/AABB frustum culling, a multilingual Unicode-based text engine, advanced texturing, DDS cubemaps, mipmaps, compressed textures, and much more. Visualization Library can be especially useful in 3D/2D scientific visualization, virtual reality, augmented reality, visual simulation, data visualization, presentations, multimedia applications, special effects, and 3D/2D games.
LAPACK is a linear algebra library, based on LINPACK and EISPACK, designed to provide routines for handling simultaneous equations and matrix algebra efficiently, particularly on shared memory vector processors, parallel processors, and clusters. The code is written in Fortran, and requires the BLAS (Basic Linear Algebra Subprograms) library.