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RADAR is a pluggable network monitoring platform that allows for reporting and searching at the application layer. Out of the box, RADAR lets you capture SMTP, AIM, YahooIM and YMail traffic. Find out more at: http://www.optaros.com/solutions_radar.html
Datamatrix (2d barcode) reader for Symbian based mobile phones with built in camera. Projects aim is to create a free software that can be used to decoding datamatrix barcodes. Decoded datamatrix result is shown in a dialog box or passed to browser.
jpcap is a set of Java classes which provide an interface and system for network packet capture. A protocol library and tool for visualizing network traffic is included.
jpcap utilizes libpcap, a widely deployed system library for packet capture.
Note - This Project is dead. Tho code created here was could not be used successfully. But the idea behind this project is not dead. There exists a successor project which sincerely is not yet ready for public. Contact bihrm@sf.net for more information.
This project is focused on building a Java-based demo builder that may be used to demo products, tutorials or any slide-ware with video/audio annotations like ViewletBuilder, RoboDemo, etc.
Visual IP is a network protocol
analyzer that works in any operating system with a java VM. At the
moment it only allows you to examine data from the disk, and created
by tcpdump. You can interactively browse the capture data, viewing
summary and det
The Project Architect is a project trying to help with project management issues by integrating a set of tools in a common environment.
Features requirements capture and indexation, documentation tools (generation, searching, indexation), help with pl
JeeWii is a Java wrapper for BlueTooth communication with the Nintendo Wiimote. Using JSR82, JeeWii makes possible to get all information from a Wiimote in the same fashion of swing/awt action listeners.
This is a solution to help an enterprise to monitor their key data
This is a solution to help an enterprise to monitor their key/sensitive data. It is composed of seven major components: k-data modeling, k-data capture, k-data store, k-data watcher, k-data metrics, k-data view and k-data action.