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.
Jmol is a Free, Open Source molecule viewer and editor. It is a collaboratively developed visualization and measurement tool for chemical scientists. Jmol is an active project, and there are new features being added to it on a daily basis. Users are encouraged to modify it to fit their needs and to contribute their changes to the project.
KOJAC is a set of Java classes implementing optical elements and optics laws in order to build and simulate optical systems. It is also aimed at being a demonstrator of optics for educational purposes. Optical systems are composed of objects with defined properties that may be modified by the user through the applet's buttons and scrollbars. Such basic devices are lenses, apertures, interfaces, and may be themselves composite sets of other elements. KOJAC is able to do exact raytracing in 3 dimensions, taking into account the wavelength of the rays, and simulating real materials.
Pysync has both a demonstration implementation of the rsync and related algorithms in pure Python, and a high speed librsync Python extension. The pure Python is not fast and is not optimized, however it does work and provides a simple implementation of the algorithm for reference and experimentation. It includes a combination of ideas taken from librsync, xdelta, and rsync. The librsync Python extension is less flexible and harder to understand, but is very fast.
Sizzle is a Scheme interpreter for embedding into C applications and for standalone scripting. It implements a nearly complete subset of R5RS Scheme, adding a lot of primitives for U*ix scripting, regular expression searching, a simple module system, dynamic library linking, powerful string processing procedures, and much more. It includes a user's guide and an embedding manual in texinfo format, some examples, the embedding library, and a standalone interpreter for interactive use and scripting.
The SWORD Project is an effort to create an ever expanding software package for research and study of God and His Word. Libraries are developed in ANSI-draft standard C++ and currently compile on Linux and in WIN32 environments. Frontends complete and currently under development include commandline tools, gtk, wxGTK, Qt, Gtk--, and WIN32 C++Builder). Addon modules include Bible texts, commentaries, lexicons, and dictionaries in a variety of languages.
Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka is also well-suited for developing new machine learning schemes. The development version contains a GUI with visualization tools and direct database access.
Tulip is an information visualization framework dedicated to the analysis and visualization of relational data. Tulip aims to provide the developer with a complete library, supporting the design of interactive information visualization applications for relational data that can be tailored to the problems being faced. Written in C++, the framework enables the development of algorithms, visual encodings, interaction techniques, data models, and domain-specific visualizations. One of the goals of Tulip is to facilitate the reuse of components, and it allows developers to focus on programming their application. This development pipeline makes the framework efficient for research prototyping as well as the development of end-user applications. The framework also provides a complete software for visual analysis of relational data having attributes.