Download software tagged by free binary file analyzer

SplitMe, is an universal binary file splitter and self-rejoin exe generator. Meaning that you may split any file type into smaller pieces in order to fit on floppy, cdrom, e-mail or other media type which size is smaller than original file size.

VEDIT edits any text, data, binary file in ASCII, Hex or EBCDIC; even 100+ Gigabyte files. Ideal for database and mainframe editing, program development. Fast, compact and configurable. Windows, DOS, Linux

SplitMe, is an universal binary file splitter and self-rejoin exe generator. Meaning that you may split any file type into smaller pieces in order to fit on floppy, cdrom, e-mail or other media type which size is smaller than original file size.

SurfStats Log Analyzer analyzes web server log files and generates 50+ html web activity reports in various languages with report output to screen, file directories, ftp or email. It supports most common log file formats.

The program is intended for programmers and web developers. In addition to binary editing, many tools necessary for almost any user, are included such as folder and file comparison, regular expression search, defining and viewing structured data .etc

Passware Encryption Analyzer is a free encryption scanning tool that finds password-protected files on a PC. Get a free check of how secure your files are. Download now.

View, Edit and Analyze Hexadecimal Data and Binary Files of any Size. Free Hex Editor Neo is a large files optimized freeware hex editor for everyone who works with ASCII, hex, decimal, float, double and binary data

FxEdit is a small file utility that allows you to view and modify binary files. You can search for specified hexadecimal and ASCII strings. Most commonly used menu commands are available on the application's toolbar ribbon.

WhosOn is a real time log file analyzer. It displays a list of currently active visitors and allows visitors to chat to you. Also includes real time error and exception reporting plus historical reporting via a SQL database.