Free databases and networks software for windows

PITO Networks provides users with a peer-2-peer file sharing services that allows users to share files on there computers securely with other users that they give access to.

Powerful program-network scanner, which combines high functionality and simplicity of usage.
It can use as a skilled pro, and novice user of a network, which only has confronted with problems of work in local Intranet. LAN perfectly will approach and for a home network, and for a global web.
The program includes the whole set of the utilities for work with a network, among them:
DNS Resolver, Network scanner, Message sender (protocol Net Send), Message sender (internal protocol LAN: Looking Any Network), Scanner of network ports , Trace Router), User database etc..
Version restrictions: Banner, notifications, ...
Enhancements:
- Added autoscrolling in main window
- Added "Lan Inform"
- Improved "Lan Messenger", now it sends/gets messages with graphical animated smiles
- Impoved new Lan Message protocol
- Impoved program security
- Added online users list to "Lan Messanger"
- Fixed bug in "Trace Router"
- Fixed some small bugs

Find MS Access Databases Wizard finds all the MS Access files in the location you select The Wizard finds all the MS Access files in the location you select and classifies each file by Access version, lists all the files found in the location, and saves the data in a text-delimited file.
System requirements:
- VB6 Runtime Files

Data Comparisons Express 0.97 provides you a useful database and network tool which allows you to compare data between two database tables quickly & easily. You can connect to any version of Microsoft SQL server for each side of the comparison. Then choose your respective databases and tables to compare. Then Data Comparisons will compare the differences between those two tables and show you a color-coded results view of all differences found.

Image Compression with Neural Networks 1.0 is a very flexible and effective mathematic tool which have been applied to many problems, and have demonstrated their superiority over traditional methods when dealing with noisy or incomplete data. One such application is for image compression. Neural networks seem to be well suited to this particular function, as they have the ability to preprocess input patterns to produce simpler patterns with fewer components. This compressed information (stored in a hidden layer) preserves the full information obtained from the external environment.