Social Networks Visualizer (SocNetV) is a flexible and user-friendly tool for the analysis and visualization of Social Networks. It lets you construct mathematical graphs with a few clicks on a virtual canvas, load networks of various formats (GraphViz, GraphML, Adjacency, Pajek, UCINET, etc), or create a network by crawling all links in a Web page. The application can compute basic network properties, such as density, diameter, and distances (shortest path lengths), as well as more advanced structural statistics, such as node and network centralities (i.e. closeness, betweenness, graph), clustering coefficient, etc.
RebeccaAIML is an enterprise cross platform AIML development platform. RebeccaAIML supports C++, Java, C#, Python, and many other programming languages. It allows AIML development out of the box. RebeccaAIML also comes with an array of AIML administration tools, great documentation, and an Eclipse AIML editor plugin.
Nomatic*IM provides a service that supports the convenient and appropriate broadcasting of presence through instant messaging clients. It provides the flexibility to support multiple IM protocols, IM clients, and operating systems. From a high-level, what Nomatic*IM does is to figure out where you are and what you are doing from the sensors that come with your computing platform. That information is processed with machine learning techniques to develop a semantic interpretation about the name of your current place, activity, and social context.
Pipviewer is a visualizer for multiple alignments of genomic sequences. It highlights conserved regions and allows basic annotations. Its main goal is to find conserved probes for the construction of gene order data sets. Selected regions marked as 'probes' can be exported to fasta format. It can also retrieve gene annotations from the NBCI and display this information along the alignment. Pipviewer is not an aligner. You must compute the alignment with another tool like Clustal or Multi PIP Maker.
This package contains Virtual Hybridization tools. Virtual Hybridization uses sets of short probes to generate datasets for comparative genomics: given a DNA sequence and a set of probes, the typical output will give a sequence of oriented probe hits along the DNA sequence. Other tools are supplied to allow simple manipulations such as format conversion and extraction of permutations.
Aseba is an event-based architecture for distributed control of mobile robots. It targets integrated multi-processor robots or groups of single-processor units, real or simulated. The core of aseba is a lightweight virtual machine tiny enough to run even on microcontrollers. Robots are programmed in a user-friendly scripting language using a cozy integrated development environment.