Nova is a software application for preventing and detecting hostile network reconnaissance (such as nmap scans). It does this by first creating the Haystack: a large collection of low interaction honeypots using an updated version of Honeyd. Finding real machines on the network becomes like finding a needle in a haystack of fake machines. Second, Nova uses machine learning algorithms to automatically detect and classify attempts at hostile reconnaissance, so there's no need to go searching manually through your honeypot's log files. It provides an easy to use Web-based interface powered by Node.js to configure itself and Honeyd instances.
MN Viewer (Mobile Network Viewer) is a lightweight framework designed for system administrators who would like to be able to monitor many aspects of their network from their mobile phone. It allows for very simple expansion using simple PHP plugins. It is designed to integrate with other monitoring tools such as Cacti.
PRADS is a "Passive Real-time Asset Detection System". It passively listens to network traffic and gathers information on hosts and services it sees. This information can be used to map your network, letting you know what services and hosts are alive and used. It can also be used together with your favorite IDS/IPS setup for "event to host/service" correlation. It can help you make sure that your inventory database is up to date. PRADS commes in two versions. One written in Perl, and one written in C. Some features might only be found in one of the versions.