Lynis is an auditing and hardening tool for Unix derivatives like Linux/BSD/Solaris. 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.
lib_MTA is a BASH function library for dealing with email. It provides support for unencrypted and TLS-encrypted relaying of email with attachments, special mailing list filtering, and From address spoofing. The installation automatically sets up a mailing list filtering infrastructure that can be enabled with a few simple steps. Example scripts for relaying email and filtering mailing lists are included in the package with the library. Desktop users can employee a simple script to send email to remote addresses without the need for a local MTA, provided they have relay access via Gmail or their ISP.
Makeflow is a workflow engine for executing large complex applications on clusters, clouds, and grids. It can be used to drive several different distributed computing systems, including Condor, SGE, and the included Work Queue system. It does not require a distributed filesystem, so you can use it to harness whatever collection of machines you have available. It is typically used for scaling up data-intensive scientific applications to hundreds or thousands of cores.
nts is an acronym for Note Taking Simplified. It provides a simple, intuitive format for using plain text files to store notes, a command line interface for viewing notes in a variety of convenient ways, and a cross-platform, wx(python)-based GUI for creating and modifying notes as well as viewing them. Displayed items can be grouped by path or tag and can be filtered in various ways.
The Scalable Assembler at Notre Dame (SAND) replaces the early stages of the Celera Assembler with scalable versions that can run on collections of commodity computers. By harnessing clusters, clouds, grids, or just random machines in your office, many bioinformatics tasks can be reduced from weeks or months down to minutes or hours.