SetiContainer is a C++ class that allows convenient access to all the information in the state files of a SETI@home client. It periodically examines these files and updates its own data members accordingly. Other programs can use this class to extract information about the progress of the client, the found signals, or the work unit being processed. Additional functions offer more advanced info (like the amount of TeraFlops in a work unit, estimated time of completion, etc.). The SetiContainer class is based on the Qt toolkit, and extensively uses Qt's Signal/Slot technique.
SaVi is satellite visualization software that lets you create, run, examine, and modify satellite orbits in two and three dimensions. Simulations of Iridium, Globalstar, Galileo, GPS, and other satellite constellations are included. SaVi requires Tcl and Tk on a system with Unix libraries. SaVi works well with the 3D renderer Geomview. Geomview is optional, though recommended for its 3D rendering capabilities.
GCX provides a complete set of data-reduction functions for CCD photometry, with frame WCS fitting, automatic target identification, aperture photometry of target and standard stars, single-frame ensemble photometry data reduction, multi-frame color coefficient fitting, extinction coefficient fitting, and all-sky photometry. It also controls CCD cameras and telescopes, and implements automatic observation scripting. Cameras are controlled through a hardware-specific server, to which gcx connects through a TCP socket. The program can control telescopes which use the LX200 protocol, and refine pointing by matching images to the GSC catalog position of stars. It generates FITS files with comprehensive header information.
TRIP is a general computer algebra system dedicated to celestial mechanics. It includes a numerical kernel and has interfaces to gnuplot and xmgrace. Computations can be performed with double, quadruple, or multi-precision. Users can dynamically load external libraries written in C, C++, or Fortran. Parallel computations on multivariate polynomials can be performed.