Showing 34 open source projects for "running cppcheck on linux"

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  • 1
    Quezen is an administration tool for OpenJMS written in Java / SWT. Quezen can add, delete, send messages to, and monitor queues/topics running on multiple servers. Quezen can also organize log output generated by the components of your system.
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  • 2
    Java package containing architecture to distribute CPU intensive processing tasks across the internet. A generic client will be capable of running any task the server provides it, automatically updating the code it runs.
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  • 3
    Two way communication from any Excel, PowerPoint, Word application to Linux. The Brain is a custom TCP server, running under Linux, capable of accepting multiple connections from VBA objects and redistributing or storing the information in real-time.
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  • 4
    The integration of the VM on most OS is not very deep: It sits on top of the OS, running as a simple app, and does not access most features of the OS. This project's aim is to deeply integrate with the OS to facilitate many services.
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  • 5
    Netcluster is a framework for writing parallel programs. Its main objective is to utilize the idle time of computers on a LAN by distributing tasks amongst them. The package consists of a daemon running on all volunteering machines, and a library to provi
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  • 6
    This project is a try of implementing Java Messages Systems on Java 2 Micro Edition. The project consists of a few parts: - a library for mobiles, implementing most of JMS methods - a proxy serwer, running on J2SE, communicating with queues provider
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  • 7
    Clipshare is a component based distribueret clipboard which enables users to copy/paste clipboard data to/from other users on a Local Area Network. Clipshare uses a discovery service, that automatically displays users running the application
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  • 8
    Anicetus is an application telemetry framework. Anicetus defines a language neutral standard for publishing streams of facts about a running application.
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  • 9
    QUAFF is a C++ library for designing and running parallel code onto any MPI aware system by providing an eay to use -- yet efficient -- API based on algorithmic skeletons.
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