beaTunes is an iTunes companion app capable of automatically analyzing your music collection to help you build better playlists. It analyzes BPM (beats per minute), silence at the beginning or end of a song, and the color (based on frequency spectrum) of a given song. Some of the data is stored through iTunes, and some is stored by beaTunes itself. beaTunes can suggest albums that would complement your music collection, display music charts, and help you find and fix errors in your song meta data, like typos and wrong genres. It also allows you to blog about selected songs or playlists.
allmon is a generic system for collecting and storing various runtime metrics collections used for system performance, health, quality, and availability monitoring purposes. The system also provides a set of data-mining algorithms useful for further performance analysis. Allmon is designed to harvest different metrics values coming from many areas of monitoring infrastructure. The collected data are based on quantitative and qualitative performance and availability analysis. Allmon collaborates with other analytical tools for OLAP multidimensional analysis and data mining processing. The tool can be used for production as well as for development (profiling) and QA (load testing) purposes.
Statmetrics is a software application providing an interactive environment for computational finance. It combines innovative quantitative finance technologies with traditional technical and econometric analysis methods. Statmetrics can be used in diverse fields to perform econometric analysis, technical analysis, risk management, portfolio management, and asset allocation.
Sonar enables you to collect, analyze, and report metrics on source code. Sonar not only offers consolidated reporting on and across projects throughout time, but a central place to manage code quality. With no complex infrastructure, Sonar fulfills needs in terms of code quality, whether it is to make an audit or implement a continuous improvement process.
MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition, along with sample applications (identification, NLP, etc.) of its use. MARF can run distributed over the network (CORBA, Java RMI, and Java XML-RPC Web Services) and may act as a library in applications or be used as a source for learning and extension.