Nipper is a network infrastructure parser. It takes a network infrastructure device configuration file(s), processes it, and produces a report with a security audit, device configuration, and other relevant information. It currently supports Cisco IOS-based routers, Cisco IOS-based switches, Cisco IOS-based catalysts, Cisco NMP-based catalysts, Cisco CatOS-based catalysts, Cisco PIX-based Firewalls, Cisco ASA-based Firewalls, Cisco FWSM-based Firewalls, Cisco Content Service Switches, Juniper ScreenOS-based Firewalls (NetScreen), Nortel Passport devices, CheckPoint Firewall-1 Firewalls, and Sonicwall SonicOS-based Firewalls. Report output is in HTML, LaTeX, XML, and text formats.
OpenHuman is a Web-based, database and operating system independent, self-expression system. It is an exact copy of the idea experimented with on openhuman.org. It has been released to let social groups from anywhere around the world build their own openhuman pages and experiment with this idea locally.
LiteWebServer (LWS) is a small, modular Web server and Java web container. It is based on code from Apache's popular Tomcat server, tweaked and extended for easier installation and management. It consists of a set of modules that can be installed separately, so you can install and manage exactly the features you need. The base module provides basic Web server features (HTTP/1.1 support) and support for the Servlet API. Add-on modules provide additional features, such as JSP support. Installing new modules and upgrading or removing existing modules is as easy as can be with the bundled JustGetIt module manager.
TMAPI is a programming interface for accessing and manipulating data held in a topic map. The TMAPI specification defines a set of core interfaces which must be implemented by a compliant application, as well as a set of additional interfaces which may be implemented by a compliant application or which may be built upon the core interfaces. The goal is to define a common programming interface for all topic map processors, enabling portable code and a shorter learning curve for developers moving between topic map processers.
The Databionics ESOM Tools offer many data mining tasks using emergent self-organizing maps (ESOM). Visualization, clustering, and classification of high-dimensional data using databionic principles can be performed interactively or automatically. Its features include ESOM training, U-Matrix visualizations, explorative data analysis and clustering, ESOM classification, and creation of U-Maps.