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D-Haven Event is a library designed to make it easier to develop event based processing systems. It also includes a CommandManager to handle certain activities behind the scenes in a controlled number of background threads. The library has been fully tested, and all dependencies have been brought to a minimum.

Jeddict AI Assistant is a powerful and intuitive plugin designed for Apache NetBeans IDE. It integrates AI-powered assistance to help developers work more efficiently with Jakarta EE. This plugin provides real-time code suggestions, documentation insights, and best practices, significantly reducing development time. It is ideal for developers working on complex enterprise applications using Jakarta EE technologies, offering tailored recommendations based on the context of the code and project structure.

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 Polymorphic DSL test framework was designed to solve the challenges with testing large, complex systems. Modern architecture requires software to run as distrubited systems or on multiple platforms. The conventional cost of testing these systems is quite high. PDSL allows a user to describe the system under test using a DSL of some kind: a picture, sentences in natural languages, graphs, etc. Using a common DSL allows someone to make deeply scalable tests. A simple change to the DSL could generate dozens of tests providing coverage through many layers of the test pyramid or even multiple applications.

The Android Capture Library is a module responsible for capturing pictures using the front camera of the targeted device and then evaluating them by utilizing an external IDLiveFace Plus server. The library supports automatic face capture, which will take a picture automatically when the captured image meets the correct requirements for processing. This module is designed to prevent specific injection attacks in Android environments and is intended to be bundled into other Android applications as a modular feature to help verify digital identity attacks.

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.