Download JAR files tagged by order with all dependencies

Evita is a specialized database with easy-to-use API for e-commerce systems. Purpose of this research is creating fast and scalable engine that handles all complex tasks that e-commerce systems has to deal with on daily basis. Evita should operate as a fast secondary lookup / search index used by application frontends. We aim for order of magnitude better latency (10x faster or better) for common e-commerce tasks than other solutions based on SQL or NoSQL databases on the same hardware specification. Evita should not be used for storing and handling primary data, and we don't aim for ACID properties nor data corruption guarantees. Evita "index" must be treated as something that could be dropped any time and built up from scratch easily again.

InteGraal has been designed in a modular way, in order to facilitate software reuse and extension. It should make it easy to test new scenarios and techniques, in particular by combining algorithms. The main features of Graal are currently the following: (1) internal storage to store data by using a SQL or RDF representation (Postgres, MySQL, HSQL, SQLite, Remote SPARQL endpoints, Local in-memory triplestores) as well as a native in-memory representation (2) data-integration capabilities for exploiting federated heterogeneous data-sources through mappings able to target systems such as SQL, RDF, and black-box (e.g. Web-APIs) (3) algorithms for query-answering over heterogeneous and federated data based on query rewriting and/or forward chaining (or chase)

InteGraal has been designed in a modular way, in order to facilitate software reuse and extension. It should make it easy to test new scenarios and techniques, in particular by combining algorithms. The main features of Graal are currently the following: (1) internal storage to store data by using a SQL or RDF representation (Postgres, MySQL, HSQL, SQLite, Remote SPARQL endpoints, Local in-memory triplestores) as well as a native in-memory representation (2) data-integration capabilities for exploiting federated heterogeneous data-sources through mappings able to target systems such as SQL, RDF, and black-box (e.g. Web-APIs) (3) algorithms for query-answering over heterogeneous and federated data based on query rewriting and/or forward chaining (or chase)

The clustering libraries allow you to run MMBase in a clustered environment: where multiple MMBase machines serve content from a shared database. In order to keep these machiens in sync (for instance when an object changes on one machine and the other machines needs to flush it's cache), this code must be activated. This component provides several different implementations for communication between machines, including one which depends on the 'jgroups' software.

A simple platform on which Java/Swing desktop applications may be built. This updated version has packaged the entire library into a single JAR file. We have also made the following changes: ToolBarGenerator should now create ButtonGroups properly for state actions. ApplicationContext has accessors for the WindowManager, DockingManager, StatusDisplayer, and ProgressHandler implementations. It defaults to testing the Application's MainView and the MainView's StatusBar, then uses the Lookup, if the MainView and its StatusBar do not implement the desired interfaces. StatusMessage now uses the com.pekinsoft.desktop.error.ErrorLevel instead of the java.util.logging.Level, so that the levels will no longer need to be cast in order to be used.