Download JAR files tagged by multiple with all dependencies

This is a generic parent POM for some portlet developed for the WebLab platform by EADS team members. For some needs we developed the Abstract WebLab Portlet. It eases development if multiple events need to be handled. If you do not need these functionalities, please consider using an other parent POM for you portlet instead of this POM. Please note that some libraries need to be provided by the portal. Some provided libraries are probably in the portal own libraries (javax.portlet:portlet-api, javax.servlet:servlet-api, javax.servlet:jstl and taglibs:standard). Some other need to be added by your own (for eventing), they are WebLab specific, since we encourage you to only exchange objects of the WebLab model as events (org.weblab-project.core:model, org.weblab-project.core:extended).

StringTemplate is a java template engine for generating source code, web pages, emails, or any other formatted text output. StringTemplate is particularly good at multi-targeted code generators, multiple site skins, and internationalization/localization. It evolved over years of effort developing jGuru.com. StringTemplate also generates the stringtemplate website: http://www.stringtemplate.org and powers the ANTLR v3 code generator. Its distinguishing characteristic is that unlike other engines, it strictly enforces model-view separation. Strict separation makes websites and code generators more flexible and maintainable; it also provides an excellent defense against malicious template authors. There are currently about 600 StringTemplate source downloads a month.

A library for settings and parameterization of objects. Key features are support for data types, help for settings and parameters, annotations for ease of use. Settings and parameters both are Clonable and Serializable. More features for settings such as parsing a settingsfile, being observable, readonliness, caching etc. are available. The library contains javacc generated parsers for syntax support for properties, multi valued properties, parameterized objects and multi valued parameters.

Stepping is a framework designed to ease the implementation of data processing solutions. In use cases where we need to implement data or data-streaming algorithms or any other processing on data, we need to first handle many different infrastructure issues. For example, we need to decide how to split the data processing logic into different steps, think about our threading policy, how to handle communication between the different steps, error handling etc. One of the most important subjects is the Threading Policy of our solution. For example, we need to think how many threads to open, have the option to distribute the processing of data to multiple 'executors' in parallel, have a thread-safe communication layer between the threads etc. On top of that we also care a lot about the performance of our solution, we want to make sure that the latency added by these infrastructures is minimal as possible. Stepping aims to handle many of these aspects so developers can spend their time on the business logic instead of solving these infrastructure and data flow issues issues over and over again.

Balea creates a proxy of javax.sql.DataSource, providing dynamic routing to multiple container based databases following a On Demand Data Source Access architecture. Docker is used as manager to create, start or stop database containers on demand and link correspondent data volumes. Thanks to this approach is possible to distribute data across multiple databases keeping active only the necessary ones in each moment maximizing the use of system resources. The distribution and management of data is hidden under the hood, any process that uses this data source interface (i.e. Hibernate) will perceive it as a single source of data. It makes possible for standard SQL database like Postgresql or MySQL to be maintained, backed up or versioned with simple file system operations as the data volumes are attached dynamically to the managed Docker containers. Docker integration allows also to manage database containers in remote hosts.