Showing 3 open source projects for "jargs/gnu/cmdlineparser"

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  • Network Performance Monitoring | Statseeker Icon
    Network Performance Monitoring | Statseeker

    Statseeker is a powerful network performance monitoring solution for businesses

    Using just a single server or virtual machine, Statseeker can be up and running within minutes, and discovering your entire network in less than an hour, without any significant effect on your bandwidth availability.
  • Simplify Purchasing For Your Business Icon
    Simplify Purchasing For Your Business

    Manage what you buy and how you buy it with Order.co, so you have control over your time and money spent.

    Simplify every aspect of buying for your business in Order.co. From sourcing products to scaling purchasing across locations to automating your AP and approvals workstreams, Order.co is the platform of choice for growing businesses.
  • 1
    OpenHaystack

    OpenHaystack

    Framework for tracking personal Bluetooth devices

    OpenHaystack is a framework for tracking personal Bluetooth devices via Apple's massive Find My network. Use it to create your own tracking tags that you can append to physical objects (keyrings, backpacks, ...) or integrate it into other Bluetooth-capable devices such as notebooks.
    Downloads: 0 This Week
    Last Update:
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  • 2
    Potatso

    Potatso

    Potatso is an iOS client that implements Shadowsocks proxy

    Potatso is an iOS client that implements custom proxies with the leverage of Network Extension framework introduced by Apple since iOS 9. The project is tested with Xcode 9.4 (9F1027a) on iOS 11.4 (15F79) device with cocoapod version 1.4.0+. You can purchase it from App Store, or still use Potatso by building it manually and installing to your device from this project.
    Downloads: 49 This Week
    Last Update:
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  • 3
    LocoKit

    LocoKit

    Location, motion, and activity recording framework for iOS

    A Machine Learning based location recording and activity detection framework for iOS. Combined, simplified Core Location and Core Motion recording. Filtered, smoothed, and simplified location and motion data. Near real-time stationary / moving state detection. Automatic energy use management, enabling all-day recording. Automatic stopping and restarting of recording, to avoid wasteful battery use. Machine Learning-based activity type detection. Improved detection of Core Motion activity...
    Downloads: 1 This Week
    Last Update:
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