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

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    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
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  • 2
    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
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