Lush is a Lisp dialect with extensions for object-oriented and array-oriented programming. It is intended as a programming environment for prototyping numerically intensive applications. Unlike alternatives like Python or SciLab, Lush is designed for easy integration of existing C/C++/Fortran codes.
The libjit library implements just-in-time compilation functionality. Unlike other JITs, this one is designed to be independent of any particular virtual machine bytecode format or language. Currently, libjit is used as the JIT backend for the DotGNU Portable.NET project (in addition to its default CVM backend). However, the hope is that other Free Software projects can use this library rather than spending large amounts of time writing their own JIT from scratch.
Mistletoe is a JUnit extension intended for integration testing. In technical terms, it is a JUnit test suite runner presenting the test results via HTTP as a Web page. Mistletoe, when incorporated within an application, will help diagnose integration issues. For example, an application that runs perfectly in the developer's environment may not run properly in the production environment due to configuration errors and connectivity issues. Instead of perusing log files, or looking at stack traces, mistletoe will run a user-specified series of tests and present the results in the form of a Web page served by the application itself. Since the tests are run within the context of the deployed application, given an appropriate test suite, you can home in on integration problems quickly and conveniently.
OpenCAN is a software platform for interacting with various Controller Area Network (CAN or CANbus) devices. It provides an abstract C++ interface that can be used to control CAN devices. Support for specific devices can be written as plugins, and then loaded through a simple API call. Each component is cross-platform, enabling the efficient development of CAN software on Windows, Linux, and Mac OS X.
iSAM is an optimization library for sparse nonlinear problems as encountered in simultaneous localization and mapping (SLAM) in mobile robotics. The iSAM library provides efficient algorithms for batch and incremental optimization, recovering the exact least-squares solution. The library can easily be extended to new problems, and functionality for often encountered 2D and 3D SLAM problems is already provided.