Showing 4 open source projects for "embedded linux"

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  • 1
    CryptoSwift

    CryptoSwift

    Collection of standard and secure cryptographic algorithms

    ... and they can be integrated similarly to how we’re used to integrating the .framework format. Embedded frameworks require a minimum deployment target of iOS 9 or macOS Sierra (10.12). CryptoSwift uses array of bytes aka Array<UInt8> as a base type for all operations. Every data may be converted to a stream of bytes. You will find convenience functions that accept String or Data, and it will be internally converted to the array of bytes.
    Downloads: 0 This Week
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  • 2
    Fluent

    Fluent

    Vapor ORM (queries, models, and relations) for NoSQL and SQL databases

    Fluent is an ORM framework for Swift. It takes advantage of Swift's strong type system to provide an easy-to-use interface for your database. Using Fluent centers around the creation of model types that represent data structures in your database. These models are then used to perform create, read, update, and delete operations instead of writing raw queries. When creating a project using vapor new, answer "yes" to including Fluent and choose which database driver you want to use. This will...
    Downloads: 0 This Week
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  • 3
    Pulley

    Pulley

    A library to imitate the iOS 10 Maps UI

    A library to imitate the drawer in Maps for iOS 10/11. The master branch follows the latest currently released version of Swift. If you need an older version of Swift, you can specify it's version (e.g. 1.0.x) in your Podfile or use the code on the branch for that version. Older branches are unsupported. Pulley 2.9.0 has new properties to support a new display mode. The base functionality should work without any significant changes. The biggest change is the new display mode of .compact to...
    Downloads: 1 This Week
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  • 4
    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...
    Downloads: 0 This Week
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