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SharpYaml

SharpYaml is a .NET library that provides a YAML parser and serialization engine for .NET objects.

Usage

var serializer = new Serializer();
var text = serializer.Serialize(new { List = new List<int>() { 1, 2, 3 }, Name = "Hello", Value = "World!" });
Console.WriteLine(text);

Output:

List:
  - 1
  - 2
  - 3
Name: Hello
Value: World!

Features

SharpYaml is a fork of YamlDotNet and is adding the following features:

  • Supports for 4.0+ .NET Portable Class Library compatible with Windows desktop, Windows Phone 8 and Windows RT
  • Completely rewritten serialization/deserialization engine
  • A single interface IYamlSerializable for implementing custom serializers, along IYamlSerializableFactory to allow dynamic creation of serializers. Registration can be done through SerializerSettings.RegisterSerializer and SerializerSettings.RegisterSerializerFactory
    • Can inherit from ScalarSerializerBase to provide custom serialization to/from a Yaml scalar
  • Supports for custom collection that contains user properties to serialize along the collection.
  • Supports for Yaml 1.2 schemas
  • A centralized type system through ITypeDescriptor and IMemberDescriptor
  • Highly configurable serialization using SerializerSettings (see usage)
    • Add supports to register custom attributes on external objects (objects that you can't modify) by using SerializerSettings.Register(memberInfo, attribute)
    • Several options and settings: EmitAlias, IndentLess, SortKeyForMapping, EmitJsonComptible, EmitCapacityForList, LimitPrimitiveFlowSequence, EmitDefaultValues
    • Add supports for overriding the Yaml style of serialization (block or flow) with SerializerSettings.DefaultStyle and SerializerSettings.DynamicStyleFormat
  • Supports for registering an assembly when discovering types to deserialize through SerializerSettings.RegisterAssembly
  • Memory allocation and GC pressure improved

Available from Nuget

You can download SharpYaml binaries directly from nuget.

License

MIT

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SharpYaml is a .NET library for YAML

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