Qmonix is a quantitative software monitoring and analysis SDK. It allows you to build your own analytics infrastructure by monitoring and analyzing events from any platform that supports HTTP, visualize your data in real time in the provided Web interface or query with the HTTP API, embed charts in your Web sites, or export data for further analysis.
Hatohol collects monitoring information from various monitoring systems and shows their integrated data on one screen. This enables the user to consolidate monitoring centers and operators even when monitored devices are being used in different places or with different monitoring software.
Meters is a set of Java/Swing components for creating live, realtime dashboards which visualize telemetric data. It provides visually rich components with organic movement, which gets the user interface out of the way, allowing the data to communicate. It is implementation-agnostic. It provides easily-extended interfaces and base classes which allow you to integrate your existing data sources so you can create a simple Java wrapper around your existing technology and incorporate your telemetry data into Meters.
LibreNMS is an autodiscovering PHP/MySQL-based network monitoring system forked from Observium. It aims to be easy to use and painless to deploy, and to support monitoring of a wide range of devices. Observium's license changed to a modified QPL license in May 2012, then was split into free and commercial versions. The aim of LibreNMS is to continue to create a usable NMS, but with a community focus and GPL licensing.
Muse Proxy is a highly customizable multi-platform proxy server. It is easy to use and configure, acting successfully as a gateway to authenticated restricted content, rewriting Web server, Web Access Management, proxy server, and reverse proxy. It has been used for more than 10 years within the Muse Federated Search Platform to manage the authentication to resources and the navigation to full text, by restoring the server session on the end-user browser.
C-ICAP Classify is a module that allows classification (labeling) of Web pages, images, and soon video based on content. Labels are placed in HTTP headers. Any PIC-Label META tags are exported into HTTP headers. This allows for creation of very flexible filters according to rules defined by the user, using the ICAP enabled proxy's ACLs. It is not a URL filter, so implementing it with sslBump or similar proxy technologies makes it very difficult to bypass. Text classification is done using Fast Hyperspace (based on Hyperspace from CRM114) and/or a Fast Naive Bayes. Image and video (when implemented) use haar feature detection from the OpenCV library.