ddrescueview is a small tool that allows the user to graphically examine ddrescue's log files in a user-friendly GUI application. The Main window displays a block grid with each block's color representing the block types it contains. Many people know this type of view from defragmentation programs. The program is written in Object Pascal using the Lazarus IDE. It can be compiled to run on Windows, GNU/Linux, and probably OS X too. The downloads include binaries for the respective target platform and the project files (source code).
Hatteras is a business events subscription engine which makes up one component of the Fogcutter Suite. It works with Quoddy to provide the ability for users to create subscriptions to business events on the organization's ESB infrastructure. It connects to Quoddy, downloads all defined subscriptions, then listens for matching messages. Messages which match a subscription are persisted to an XML database, and Hatteras then sends a notification to Quoddy which creates a subscription item record which can be rendered in the user's stream. Quoddy and Hatteras thereby provide seamless access to important business events, alongside other import pieces of content the user has selected.
ClodHopper is a Java library for high-performance clustering of numerical data. It contains clustering implementations such as K-Means, K-Means++, X-Means, G-Means, Fuzzy C-Means, Jarvis-Patrick, and various forms of hierarchical clustering. ClodHopper's clustering implementations take advantage of the host system's concurrent processing ability to speed clustering. The data structures are also very lean to conserve memory usage. ClodHopper is very extensible. If you are developing a new clustering algorithm, you may save yourself an enormous amount of work by extending a ClodHopper base class.
Dandelion is a 3D graph rendering application which can be controlled across a network. Its main purpose is to allow clear network graphs to be rendered in a window, which can be controlled by a separate application or the user. The Dandelion visualization is actually controlled by issuing simple commands to it across the network (although this could all be happening on a single machine). The Dandelion source includes a set of very simple libraries which can be incorporated into other applications and which can be used to send these commands. Libraries are included for C, C#, Java, and Python. The project was developed at Liverpool John Moores University within the PROTECT Centre.