csvgrep is a commandline program which enables users to execute searches on text-delimited files using a rudimentary query language. Its query language is bound to simplicity and expressivity, to be easily comprehensible. It aims at replacing both grep and awk when you are challenged to retrieve information from a text-delimited file based on the content of a specific field (or column). You can get what you want using the semantic already in the file’s underlying structure.
Triceps is an innovative embeddable Complex Event Processing (CEP) system. It can be thought of as an in-memory database driven by triggers, or a data-flow machine working on a stream of events, or a spreadsheet on steroids. The major architectural advantages of Triceps include the direct use of procedural logic (as opposed to all-SQL systems), support of both compiled and general scripting languages (C++, Perl), light weight, and easy extensibility.
LoginIDS provides functions to analyze log files from different services in order to detect unusual login behavior. The normal user behavior is learned by analyzing log files and saved in a database. Logins are analyzed by time, service, source, and destination address. If a user's login is new or considered unlikely by LoginIDS, an alert is generated. Alerts can be handled by external scripts and viewed using the log file management system Splunk and the LoginIDS App.