Search Results for "java desktop applications"
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Showing 7 open source projects for "java desktop applications"
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dotNet4Java - .Net for Java
The best Java library to work with .Net libraries and frameworks.
The dotNet4Java is a .Net Runtime Library for Java which helps Java developers work with .Net framework and 3rd party libraries in Java with ease. It is designed to provide a way to interact with applications written in anyone of the .Net languages (such as C#, Visual Basic.Net, Delphi.Net, JScript.Net etc) from Java. Competitive Advantages: - dotNet4Java JAR can be easily added to artefacts repository like maven or ivy -
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Okapi Framework (Old .NET version)
See http://okapi.opentag.com/ for LATES VERSION of the Okapi Framework
THIS VERSION ON SOURCEFORGE IS NO LONGER SUPPORTED and works only on Windows. The Okapi Framework is a set of components and tools for localization and translation tasks. THE NEWEST JAVA-BASED VERSION OF OKAPI IS AVAILABLE AT: http://okapi.opentag.com/ The new version runs on Windows, Mac, Linux, etc. -
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Intel® Mobile Platform SDK 1.3 covered by BSD license, enables developers to build mobile-aware applications. It provides a set of libraries and runtime components, and programming interface, common across Windows and Linux platforms.
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XUP (Extensible User Interface Protocol) is a SOAP-based protocol for delivering events and incremental UI updates. This project builds a web application development framework on top of XUP, consisting of a client, a server toolkit, and a template viewer.
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Development framework for implementing desktop/web applications directly from use case scenarios. Generalization, inclusion and extension relations between use cases are also supported by the framework.
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A revolutionary software development framework based on eXegeSys Customizer Technology. It allows developers to build applications that can be customized by the end user without changing the source code, interrupting support, or limiting future upgrades.
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A .Net Library that lets you make full use of multi-core and multiprocessor computers. It is very efficient, and easily integrated into existing applications. It is modeled after the Parallel FX usage model, and is faster than the PFX too.
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