[fleXive] CMS is a Java EE content management system based on JavaServer Faces 1.2. It combines the power of JSF XHTML templating with that of the Java EE 5 content repository, [fleXive]. Some highlights include dynamic JSF templating (Facelets), easy integration of custom logic with EJB or JSF beans, a modular structure, Maven support, generic data structures, and WebDAV and CMIS support. It incorporates all core [fleXive] features like security, versioning, multilinguism, and scripting.
Talend Open Studio for Data Quality helps you to profile your data. The ergonomic interface allows you to define metrics (indicators) and collect statistics on your data in a few clicks. It comes with a set of regular expressions that helps you to identify bad data. You can create your own regular expressions and use them in data profiling analyses. A lot of options exist for each indicator, which change the behavior of the indicator so that it gives you more pertinent information. Data quality options on indicators alert you when your data quality is not what you expected.
[fleXive] is a Java EE 5 content repository aiming to support upcoming industry standards like CMIS. It strives to provide a holistic approach by offering a comprehensive set of tools and building blocks for building content-centric Web applications around a [fleXive] content repository. It speeds up development by easing many tedious and repetitive programming tasks and helping to keep your application(s) flexible during the development cycle and in production. It concentrates on enterprise-scale content modeling, storage, and retrieval, and includes comprehensive JSF support for displaying and manipulating these contents in (Web) applications. Key features include persistence, security, versioning, multi-language support, and scripting.
Evergreen is an integrated library system originally developed by the Georgia PINES consortium for use as their automation system, and now includes contributions from around the world. It was designed from scratch for large-scale deployment in very large public library and state-wide consortium environments with tens of millions of records and hundreds of libraries, but can also scale down to the smallest of single-branch libraries.