Open Source Mobile Operating Systems JSON Serialization Libraries

JSON Serialization Libraries for Mobile Operating Systems

Browse free open source JSON Serialization Libraries and projects for Mobile Operating Systems below. Use the toggles on the left to filter open source JSON Serialization Libraries by OS, license, language, programming language, and project status.

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    gSOAP Toolkit

    gSOAP Toolkit

    Development toolkit for Web Services and XML data bindings for C & C++

    The gSOAP toolkit is an extensive suite of portable C and C++ software to develop XML Web services with powerful type-safe XML data bindings. Easy-to-use code-generator tools allow you to directly integrate XML data in C and C++. Serializes native application data in XML. Includes WSDL/XSD schema binding and auto-coding tools, stub/skeleton compiler, Web server integration with Apache module and IIS extension, high-performance XML processing with schema validation, fast MIME/MTOM streaming, SOAP and REST Web API development, WS-* protocols (WS-Security, WS-Policy, WS-ReliableMessaging, etc), XML-RPC and JSON. Licensed under GPLv2. Visit the developer center with guides, tutorials, and examples at www.genivia.com/dev.html The documentation of the toolkit, libraries, plugins and more is available at www.genivia.com/docs.html Commercial-use licenses and expert technical support services are available at competitive pricing levels, please visit www.genivia.com/products.html
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    Downloads: 474 This Week
    Last Update:
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  • 2
    GCDWebServer

    GCDWebServer

    The #1 HTTP server for iOS, macOS & tvOS

    GCDWebServer is a modern and lightweight GCD based HTTP 1.1 server designed to be embedded in iOS, macOS & tvOS apps. Elegant and easy to use architecture with only 4 core classes: server, connection, request and response. Well designed API with fully documented headers for easy integration and customization. Entirely built with an event-driven design using Grand Central Dispatch for best performance and concurrency. No dependencies on third-party source code. Parser for web forms submitted using "application/x-www-form-urlencoded" or "multipart/form-data" encodings (including file uploads). Allow implementation of fully asynchronous handlers of incoming HTTP requests. Minimize memory usage with disk streaming of large HTTP request or response bodies. Automatically handle transitions between foreground, background and suspended modes in iOS apps. Full support for both IPv4 and IPv6.
    Downloads: 3 This Week
    Last Update:
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  • 3
    HandyJSON

    HandyJSON

    A handy swift json-object serialization/deserialization library

    HandyJSON is a framework written in Swift which makes converting model objects( pure classes/structs ) to and from JSON easy on iOS. Compared with others, the most significant feature of HandyJSON is that it does not require the objects inherit from NSObject(not using KVC but reflection), nor implements a 'mapping' function(writing value to memory directly to achieve property assignment). HandyJSON is totally dependent on the memory layout rules inferred from Swift runtime code. We are watching it and will follow every bit if it changes. To support deserialization from JSON, a class/struct needs to conform to 'HandyJSON' protocol. It's truly protocol, not some class inherited from NSObject. For struct, since the compiler provides a default empty initializer, we use it for free. HandyJSON supports deserialization from the designated path of JSON.
    Downloads: 0 This Week
    Last Update:
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  • 4
    ObjectMapper

    ObjectMapper

    Simple JSON Object mapping written in Swift

    ObjectMapper is a framework written in Swift that makes it easy for you to convert your model objects (classes and structs) to and from JSON. Once your class implements Mappable, ObjectMapper allows you to easily convert to and from JSON. Use functions to validate JSON prior to object serialization provide an existing cached object to be used for mapping, return an object of another type (which also conforms to BaseMappable) to be used for mapping. For instance, you may inspect the JSON to infer the type of object that should be used for mapping. ObjectMapper supports dot notation within keys for easy mapping of nested objects. ObjectMapper also supports custom transforms that convert values during the mapping process. To use a transform, simply create a tuple with map["field_name"] and the transform of your choice on the right side of the <- operator.
    Downloads: 0 This Week
    Last Update:
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