WTMParse is a script originally intended for use in forensic examinations which parses WTMP files from Unix-like operating systems and generates a CSS-styled HTML report containing the login terminal, username, log start date, and login time/date in a table. It's good for postmortem forensic examinations or as a way of getting "last"-like information when you don't have the ability to boot the machine in question but can grab the wtmp.
Lynis is an auditing tool for Unix (specialists). It scans systems to detect software and security issues. Besides security-related information, it will also scan for general system information, installed packages, and possible configuration mistakes. The software is aimed at assisting automated auditing, software patch management, and vulnerability and malware scanning of Unix-based systems.
The RegLookup project is devoted to direct analysis of Windows NT-based registry files. RegLookup provides command line tools, a C API, and a Python module for accessing registry data structures. The project has a focus on providing tools for digital forensic examiners (though it is useful for many purposes), and includes algorithms for retrieving deleted data structures from registry hives.
The Cryptographic Implementations Analysis Toolkit (CIAT) is a compendium of command line and graphical tools whose aim is to help in the detection and analysis of encrypted byte sequences within files (executable and non-executable). It is particularly helpful in the forensic analysis and reverse engineering of malware using cryptographic code and encrypted payloads.
The Karmasphere DP language is a high-performance non-blocking parallel language for performing data processing. It is designed to give the user a high degree of control over the usage of system resources, such as how many CPU cores or how much disk I/O time to use, without requiring the software developer to explicitly consider these issues in code. The implementation is a stand-alone library that can be used in any Java 1.5 environment. It can take full advantage of multiprocessor (SMP or NUMA) systems, and may be scaled sideways: since the interpreter and environment are stateless, an entire cluster of machines may run the interpreter in parallel without any need for synchronization.