Arad-OneTable-Editor is a set of perl modules to manage and display a dialog for a single-table SQL query. It can verify types, and scroll between the records. The data handling is separate from the dialog class, so it is possible to write different generic dialogs for the same query. A Perl/Tk dialog and a GNU/readline (or plain text) dialog are included in the distribution.
DB_Browser is a CGI tool for developers working with any relational database supported by Perl::DBI. It easily facilitates searching, editing, and adding to tables within a database. While it can be used as a regular interface to database data itself, it works well as a supplemental tool for developers creating their own primary interface.
Expresso Framework is an open standards-based J2EE architectural framework that allows the developer to concentrate on application logic. It is a library of extensible Java Server application framework components for creating database-driven Web applications based on open standards. Expresso integrates with Apache Jakarta Struts, which emphasizes presentation and application configuration, and bringing a powerful tag library to Expresso. Expresso adds capabilities for security, robust object-relational mapping, background job handling and scheduling, self-tests, logging integration, automated table manipulation, database connection pooling, email connectivity, event notification, error handling, caching, internationalization, XML automation, testing, registration objects, configuration management, workflow, automatic database maintenance, and a JSP tag library.
f2w helpdesk is a Web-based helpdesk package. It allows requests to be categorised to an arbitrary level of detail using a expert-system-like question and answer method. Advice and problem-specific information can be associated with the request categories, thus building up a knowledge base to speed the resolution of frequently occurring problems. Users can also add their own tasks, thus using it as a todo list or for workflow within teams, and notes can be added to each request at any time.
imaverage uses the viewing frequency and viewing time from a spawned image viewer to build a dynamic database entry for images to gauge their relative preference for a given user. Once the entries have been created, imaverage will continue to show images randomly, with dynamic preference weights. On average, your favorite images should show up most frequently.