Showing 4 open source projects for "devices-mapper"

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  • 1
    Atlantis iOS

    Atlantis iOS

    A lightweight and powerful iOS framework for intercepting HTTP/HTTPS

    Don't let cumbersome web debugging tools hold you back. With Proxyman's native macOS app, you can capture, inspect, and manipulate HTTP(s) traffic with ease. Intuitive, thoughtful, and built with meticulous attention to detail. Dive into the network level to diagnose and fix problems with reliable and powerful tools. Proxyman acts as a man-in-the-middle server that captures the traffic between your applications and SSL Web Server. With a built-in macOS setup, so you can inspect your...
    Downloads: 4 This Week
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  • 2
    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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  • 3
    MultipeerKit

    MultipeerKit

    MultipeerConnectivity + Codable

    A high-level abstraction built on top of the MultipeerConnectivity framework, which allows iOS, macOS and tvOS devices to exchange data between them over Wi-Fi networks, peer-to-peer Wi-Fi, and Bluetooth. In order for MultipeerKit to work when running on iOS 14, you will have to include two keys in your app's Info.plist file. For the privacy key, include a human-readable description of what benefit the user gets by allowing your app to access devices on the local network. ...
    Downloads: 0 This Week
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  • 4
    GPUImage 2

    GPUImage 2

    Framework for GPU-accelerated video and image processing

    ...By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS.
    Downloads: 0 This Week
    Last Update:
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