Search Results for "capture/recording software"

Showing 8 open source projects for "capture/recording software"

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  • 1
    NextLevel

    NextLevel

    Media Capture in Swift

    NextLevel is a Swift camera system designed for easy integration, customized media capture, and image streaming in iOS. Integration can optionally leverage AVFoundation or ARKit. ARKit and the True Depth Camera software features are enabled with the inclusion of the Swift compiler flag USE_ARKIT and USE_TRUE_DEPTH respectively. Apple will reject apps that link against ARKit or the True Depth Camera API and do not use them.
    Downloads: 0 This Week
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  • 2
    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: 0 This Week
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  • 3
    HaishinKit

    HaishinKit

    Camera and Microphone streaming library via RTMP and SRT for iOS, Mac

    Camera and Microphone streaming library via RTMP and SRT for iOS, macOS, tvOS and visionOS.
    Downloads: 0 This Week
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  • 4
    Airtest

    Airtest

    UI Automation Framework for Games and Apps

    ¿Airtest provides cross-platform APIs, including app installation, simulated input, assertion and so forth. Airtest uses image recognition technology to locate UI elements so that you can automate games and apps without injecting any code. Airtest cases can be easily run on large device farms, using the command line or python API. HTML reports with detailed info and screen recording allow you to quickly locate failure points. NetEase builds Airlab on top of the Airtest Project. AirtestIDE is...
    Downloads: 8 This Week
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  • 5
    Nightfall

    Nightfall

    A menu bar utility for toggling dark mode in macOS, written in Swift

    Nightfall lets you manage macOS's dark mode from the menu bar. Left-click the icon to toggle dark mode; right-click to reveal additional options. You can toggle dark mode with a global keyboard shortcut through a service. This shortcut can be configured in System Preferences: in Keyboard preferences, look for “Toggle Dark Mode” under Shortcuts, Services, General. If “Animated transition“ is enabled in preferences, Nightfall will smooth over the transition between light and dark modes with a...
    Downloads: 1 This Week
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  • 6
    Cheetah

    Cheetah

    AI macOS app for real-time coding interview coaching assistance

    Cheetah is an AI-powered macOS application designed to assist users during software engineering interview practice through real-time coaching capabilities. It integrates audio transcription and AI-generated responses to help users navigate technical interview questions as they happen. Cheetah uses a local speech-to-text engine based on Whisper to capture and transcribe conversations in real time, enabling it to understand interviewer prompts.
    Downloads: 0 This Week
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  • 7
    Cartography

    Cartography

    A declarative Auto Layout DSL for Swift

    Using Cartography, you can set up your Auto Layout constraints in declarative code and without any stringly typing! Call the constrain* function with your UIView or NSView instances as well as a closure in which you declare the constraints between the different attributes of your views. For every view on the left hand side of an equality or inequality operator, Cartography will automatically set its translatesAutoresizingMaskIntoConstraints property to false. If the view is not controlled by...
    Downloads: 0 This Week
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  • 8
    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: 0 This Week
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