Showing 4 open source projects for "binary software"

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

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    Grafana is the open source analytics & monitoring solution for every database.
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  • 1

    AlgART Java Libraries

    Open source library for processing arrays and matrices

    AlgART Java libraries for processing arrays and matrices are open-source product, distributed under MIT license. So, anyone can use them for free without any restrictions. Main features: 63-bit addressing of array elements (64-bit long int indexes), memory model concept (allowing storing data in different schemes from RAM to mapped disk files), wide usage of lazy evaluations, built-in multithreading optimization for multi-core processors, wide set of image processing algorithms over...
    Downloads: 0 This Week
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  • 2
    Farben is a Java-based universal binary file reader and writer. Easily view binary files hierarchically. Edit embedded file metadata in a variety of formats. Identify orphaned files. A wide variety of file formats will be included.
    Downloads: 0 This Week
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  • 3
    Klang is a project that allows viewing and editing of binary files in a structured way. Unlike traditional hex editors, Klang provides a hierarchical view of many binary file types that can be 'chunked', such as WAV and AIFF.
    Downloads: 0 This Week
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  • 4
    SCALP is an automatic mapping software, designed to help students and scientists to realise statistical maps. Perequisites : Java JRE, Java3D : https://java3d.dev.java.net/binary-builds.html
    Downloads: 1 This Week
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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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