Feed4JUnit makes it easy to write parameterized tests for the JUnit framework and feed them with predefined or randomly generated test data: test case data can be read from Excel or CSV files, databases, or custom data sources, and equivalence class tests can be defined easily. Setup is based on Java annotations and is easy to learn, apply, and maintain. Annotations defined in the "Bean Validation" JSR 303, Java 7, and Benerator are automatically recognized and generated smoke test data will match the constraints. By connecting to Benerator, you can configure generation of complex valid and invalid data sets.
Tao is a software package for sound synthesis using physical models. It provides a virtual acoustic material constructed from masses and springs, which can be used as the basis for building quite complex virtual musical instruments. It comes with a synthesis language for creating and playing instruments and a C++ API for those who would like to use it as an object library.
Q-Midi is a MIDI interface module which allows you to write MIDI applications in the Q programming language. It runs on top of Grame's MidiShare package. Most basic MidiShare functionality is available, including timing functions for realtime programming and MIDI file access. A sample MIDI player application is included (which requires Tcl/Tk).
OpenTop is a cross-platform, high-performance C++ class library that extends the standard C++ library to provide features similar to (and modelled on) core Java facilities such as resource management, networking, I/O, multi-threading and support for the full Unicode character range. OpenTop also contains a supplementary C++ XML Toolkit which features a SAX-based validating XML parser.
Gri is an extensible plotting program designed for scientists. It can draw x-y plots, contour plots, and image plots, and has rudimentary programming capabilities. Output is PostScript. Gri is not mouse driven, nor GUI-based; it is a language. Users regard it as an analogue to the LaTeX document formatting language: users gain considerable power, at the price of a moderate learning curve.