Download software tagged by network parental control

Handy Backup Server Network lets you control backup and recovery of all computers and servers in your network from a single management console. Back up files, e-mails, HDDs, SQL databases, Exchange Servers and other data on a client-server scheme.

JurikSoft Remote Control Tools - software for remote administration of computers under OS Microsoft Windows 2000\XP or Windows Server 2003. This software products are develop using Microsoft .NET technology for current and future OS from Microsoft.

JurikSoft Remote Control Tools - software for remote administration of computers under OS Microsoft Windows 2000\XP or Windows Server 2003. This software products are develop using Microsoft .NET technology for current and future OS from Microsoft.

GPRS Remote Control is a communication tool that gives you the unique ability to connect to your desktop computer through the mobile phone and interact with it remotel

NetDiagram is a general-purpose software component that can be used to display various types of flow diagrams and charts in web applications. It is implemented as a .NET web control and can be easily integrated into any project targeting ASP.NET.

NetDiagram is a general-purpose software component that can be used to display various types of flow diagrams and charts in web applications. It is implemented as a .NET web control and can be easily integrated into any project targeting ASP.NET.

Real-time network communication utility for the office environment, including channels-based chat, shared whiteboard, message board and instant messaging. Does not require a dedicated server and may be used instead of WinPopup.

The Orion NPM provides real-time fault and bandwidth utilization via any web browser. Advanced graphing and monitoring capability allows you to take control of your network utilization. View live demo at http://SolarWinds.Net or download free Eval.

Artificial Neural System Component is designed for researchers in the fields of machine learning, it can be used to construct Back Propagation Neural Network and to train it with provided samples, then finally recall it with appropriate data.