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The JGoodies Looks make your Swing applications and applets look better. They have been optimized for readability, precise micro-design and usability. And they simplify the multi-platform support by using similar widget dimensions. In addition, many people have reviewed them as elegant.

Provides the annotations necessary to express models of programmer design intent in Java code. Promises are supra-linguistic formal annotations to programs. Each promise has a precise meaning and constrains the implementation and evolution of the code it targets. Promises are also (typically) modular, meaning that the implementation constraint on the code of a promise is limited in scope.

This maven plugin extends the maven dependency plugin's CopyDependenciesMojo to provide more precise control over which artifacts are included in the copy operation. Specifically, in addition to the normal configuration provided by the CopyDependenciesMojo, it accepts a configuration of includedArtifacts which is a list containing a single entry for each includedArtifact where the value is the groupId and the artifactId joined by a colon (":")

The JGoodies Looks make your Swing applications and applets look better. They have been optimized for readability, precise micro-design and usability. And they simplify the multi-platform support by using similar widget dimensions. In addition, many people have reviewed them as elegant.

The RepeatCheckUntilVerified Utility offers a robust asynchronous mechanism for performing repeated condition checks with configurable retries, initial delays, and optional backup actions. Designed for Kotlin-based applications, it simplifies the implementation of retry logic for operations that require validation through repeated attempts, such as network requests, file I/O operations, or any condition-dependent tasks. With features like adjustable timing, maximum attempt control, and failure management through backup actions, it ensures resilience and flexibility in handling operations that may not succeed on the first try. Ideal for applications requiring high reliability and precise control over task verification processes.

This package supports the parsing of AIS messages in Java. AIS, the Automatic Identification System, is a system aiming at improving maritime safety by exchanging messages between ships, other vehicles in particular aircraft involved in search-and-rescue (SAR), and (fixed) base stations. To be precise, this package support the ITU-R M.1371-4 AIS standard. See our extensive javadoc and in particular the class AISParser for more information on how to use this package. The parser was used in the Poseidon project, and is improved in the Metis project to better handle uncertain information. Both projects were led by the Embedded Systems Institute. In both projects Thales Nederlands was the carrying industrial partner, and multiple Dutch universities participated.

Kanbanery (https://kanbanery.com) is a simple but powerful Agile project management system, to be precise it focuses around the idea of Kanban, a somewhat near idea to SCRUM but with less strict rules. The heart of each Kanban flow is the Kanban board, IceBox and Archive - there are all easy accessible via this API. Janbanery wraps around the RESTful API delivered by Kanbanery while adding some more features like mass operations or filtering of results. In the end, it's very easy and pleasant to implement your own Kanbanery client be it on the desktop, mobile (android) or as for example Gradle / SBT script to take full advantage of kanbanery's features.

Kanbanery (https://kanbanery.com) is a simple but powerful Agile project management system, to be precise it focuses around the idea of Kanban, a somewhat near idea to SCRUM but with less strict rules. The heart of each Kanban flow is the Kanban board, IceBox and Archive - there are all easy accessible via this API. Janbanery wraps around the RESTful API delivered by Kanbanery while adding some more features like mass operations or filtering of results. In the end, it's very easy and pleasant to implement your own Kanbanery client be it on the desktop, mobile (android) or as for example Gradle / SBT script to take full advantage of kanbanery's features.