G-Code Ripper reads g-code, scales, and rotates and/or splits the tool paths before outputting the modified tool path data to a new g-code file. It evaluates g-code expressions and parameters and interprets YZ and ZX arcs. YZ and ZX arcs are internally converted to linear motions for compatibility with splitting and rotation.
AstroStack is an easy-to-use astronomical imaging and processing tool geared towards the use of inexpensive webcam CCDs. It provides a very tunable environment to produce the best quality images. It supports the following features: tunable webcam sampling; image stacking (averaging, additive etc.); pre and post-capture gamma (brightness) and contrast correction; dark-shot CCD calibration (subtractive); and an internal 16-bit grey-scale format for optimal resolution.
Dr. PortScan is a tool for the automatic analysis of port scans in large and complex network infrastructures. The differences between successive scans of a network can be sent as reports at regular intervals to predefined admins. It uses port scans generated with nmap by default.
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.
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.