CacheGuard Appliance is an all-in-one OS appliance providing firewall, antivirus, caching, compression, bandwidth allocation, load balancing, reverse and forward proxy, high availability, Web application firewall, URL guarding, and more. It can be purchased as an OS to install on your server, as an OS to run in a virtual machine, or as a hardware appliance.
Gnetworktester is an application that helps users in testing the quality of a network connection and in sending complaints on that to the network provider. A procedure of testing takes three steps: choosing the network nodes; automatic pinging of those nodes to collect statistics on packet losses, delays, and overall quality; and automatic report writing.
Estimer is a Redmine plugin that allows you to estimate your software projects. It can calculate two types of software estimations: function point estimations (IFPUG) and use case estimations. Function point estimations are software estimations based on function points. A function point is a unit of measurement to express the amount of business functionality that the information system provides to users. Use case estimations are software estimations based on use cases and actors.
Knowledge Management Key (KMKey) is Web-based knowledge management software that joins three solutions on the same collaborative platform: KMKey Project: for planning, managing, and controlling your project portfolio; KMKey Quality to manage your Quality System; and KMKey HelpDesk: for your maintenance and support department. It's developed using Python and Zope, on top of the content management CPS.
GriF is a collaborative grid framework to support computational chemistry applications. It is meant to be used as a tool to facilitate massive grid calculations and also to improve scientific collaboration. Accordingly, GriF facilitates profiling the users of grid communities in order to systematically evaluate the work carried out in a grid and to foster its sustainability.
Metrix++ is a platform to collect and analyze code metrics. It has a plugin-based architecture, so it is easy to add support for new languages, define new metrics, and/or create new pre- and post-processing tools. Every metric has 'turn-on' and other configuration options. There are no predefined thresholds for metrics or rules; you can choose and configure any limit you want. It scales well to large codebases. For example, initial parsing of about 10000 files takes 2-3 minutes on an average PC, and only 10-20 seconds for iterative re-run. Reporting summary results and exceeded limits takes less than 1 - 10 seconds. It can compare results for 2 code snapshots (collections) and differentiate added regions (classes, functions, etc.), modified regions, and unchanged regions. As a result, easy deployment is guaranteed into legacy software, helping you to deal with legacy code efficiently, and either enforce the 'leave it not worse than it was before' rule or motivate re-factoring.