Showing 5 open source projects for "c--"

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  • 1
    SwiftTreeSitter

    SwiftTreeSitter

    Swift API for the tree-sitter incremental parsing system

    Swift API for the tree-sitter incremental parsing system. The SwiftTreeSitter target is a close match to the C runtime API. It adds only a few additional types to help support querying. It is fairly low-level, and there will be significant work to use it in a real project. SwiftTreeSitterLayer is an abstraction built on top of SwiftTreeSitter. It supports documents with nested languages and transparent querying across those nestings. It also supports asynchronous language resolution. ...
    Downloads: 0 This Week
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  • 2
    OmniEdge

    OmniEdge

    Bringing intranet on the internet with Zero-Config Mesh VPNS.

    OmniEdge is an Open source p2p layer 2 , zero-config mesh VPN infrastructure, a traditional VPN, AWS VPC, Ngrok, DDNS alternative. No central server, easy to scale with less maintenance. What happens in intranet, stays in in intranet.
    Downloads: 0 This Week
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  • 3
    macOS-temperature

    macOS-temperature

    Simple App to monitor macOS temperature

    Downloads: 1 This Week
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  • 4
    appFirewall
    A free, fully open-source application firewall for macOS 10.13 High Sierra and later. Allows real-time monitoring of network connections being made by applications, and blocking/allowing of these per app by user. Supports use of hostname lists (Energized Blu etc) to block known tracker and advertising domains for all apps. Also allows blocking of all network connections for specified apps, blocking of all connections except for specified whitelisted connections, use of pre-configured lists...
    Downloads: 2 This Week
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  • 5
    GPUImage 2

    GPUImage 2

    Framework for GPU-accelerated video and image processing

    GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. ...
    Downloads: 0 This Week
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