FlagShip is a database development and porting system for moving xBase-based languages to Unix. It is a highly-optimized 4GL language, syntactically compatible to other xBase dialects like dBase, Clipper, Fox, etc. It is object oriented, but you don't need any OOP knowledge to use it. It supports the same code for DOS and Unix. It allows you to add C sources externally or inline in the program source, but does not require any C knowledge.
The c-tree Plus embedded database engine offers developers several APIs that provide low-level routines, ISAM-level control, and higher-level interfaces. c-tree Plus is distributed in complete C source, has been ported to 100+ environments and includes a robust database Server SDK. It can be used to develop single user and peer-to-peer applications, or the client-side for applications using FairCom's database server, the c-tree Server.
The c-tree Server is FairCom's multi-threaded, low-maintenance database server. It supports heterogeneous networks and lets dissimilar clients attach concurrently to any single or combination of c-tree Servers. Portability is afforded through over 30 supported platforms and 5+ supported communication protocols. c-tree Servers are easy to set up and require no system tuning or DBA. Additionally, FairCom offers a Server Side Development System, allowing developers to build their own application-specific database server.
Evolvica is an evolutionary computation framework written in Java. The aim of the project is to provide a toolkit that enables developers to create genetic/evolutionary algorithms with minimal programming effort. The toolkit has a modular architecture and is highly extensible. It includes a visual algorithm editor, a source code editor, and a debugger.
XParam is an extensible, type-safe, non-intrusive, object-oriented tool for general-purpose object serialization and deserialization in C++, good for parsing command-line parameters and cross-program/cross-platform communication. It can handle named parameters as well as object streams. It recognizes class hierarchies, abstract interfaces, and polymorphism, and can therefore serve as a plug-in management framework (e.g., for strategy management).
Folding@home simulates protein folding. We do not entirely understand how proteins actually operate, but one important step is to study how proteins self-assemble or "fold." This is an extremely computationally intensive task since proteins take in the order of microseconds to milliseconds to fold, yet we can only routinely simulate over nanosecond to microsecond time scales. This system provides a new way to simulate protein folding that can break the millisecond barrier by dividing the work between multiple processors. Thus, with 1000 processors, we can break the millisecond barrier and help unlock the mystery of how proteins fold.