Showing 4 open source projects for "gnu"

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  • Grafana: The open and composable observability platform Icon
    Grafana: The open and composable observability platform

    Faster answers, predictable costs, and no lock-in built by the team helping to make observability accessible to anyone.

    Grafana is the open source analytics & monitoring solution for every database.
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  • 1
    An innovative Open Source CEP (Complex Event Processing) engine. It implements the event stream processing as a library embeddable in C++ and Perl. You can think of the Complex Event Processing engine as an in-memory database driven by triggers, or a data-flow machine, or a spreadsheet on steroids (and without the GUI part).
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  • 2
    DSPatch

    DSPatch

    The Refreshingly Simple C++ Dataflow Framework

    Webite: http://flowbasedprogramming.com DSPatch, pronounced "dispatch", is a powerful C++ dataflow framework. DSPatch is not limited to any particular domain or data type, from reactive programming to stream processing, DSPatch's generic, object-oriented API allows you to create virtually any dataflow system imaginable. *See also:* DSPatcher ( https://github.com/MarcusTomlinson/DSPatcher ): A cross-platform graphical tool for building DSPatch circuits. DSPatchables (...
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  • 3
    SPar: Stream Parallelism in Multi-Cores

    SPar: Stream Parallelism in Multi-Cores

    An Embedded C++ Domain-Specific Language

    SPar is an internal C++ Domain-Specific Language (DSL) suitable to model and implement classical stream parallel patterns. The DSL uses standard C++ attributes to introduce annotations tagging the notable components of stream parallel applications: stream sources and stream processing stages. Latest version can be downloaded from the SVN using the following command: svn checkout svn://svn.code.sf.net/p/spar-dsl-compiler/svn/ spar
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  • 4
    An experimental CEP (Complex Event Processing) engine. It implements the event stream processing as a library embeddable in C++ and Perl. Since then it has been renamed to Triceps, so please look at the new location https://sourceforge.net/projects/t
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  • Never misplace a package or lose track of a delivery. Icon
    Never misplace a package or lose track of a delivery.

    PackageX uses computer vision technology to track packages and assets with a simple photo

    Simply "snap, notify and sign." PackageX is a simple yet powerful last-yard solution that will streamline the way you manage inbound deliveries, saving you from manually notifying the recipients and ultimately improving workplace productivity. The app uses Machine Learning and state of the art AI algorithms to extract information from package labels (even handwritten labels), and to match and route deliveries to the correct recipients. Lastly, the app collects signatures and notifies the recipient when the package is picked up, keeping everyone in the loop.
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