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If you're new to the project, welcome! Please feel free to ask questions here. We encourage new frameworks and contributors to ask questions. We're here to help! This project provides representative performance measures across a wide field of web application frameworks. With much help from the community, coverage is quite broad and we are happy to broaden it further with contributions. The project presently includes frameworks on many languages including Go, Python, Java, Ruby, PHP, C#,...

...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. ...

...By centralizing how resource identifiers, links, and pagination metadata are emitted, it reduces subtle incompatibilities between services. The library favors explicit schemas and type-safe bindings where possible, which helps large teams avoid drift in field names and relationship structures. It also offers utilities for sparse fieldsets and compound documents, minimizing payload size while keeping related entities synchronized. With consistent error objects and status mapping, it makes API error handling uniform across clients.

jsonfield is a reusable model field that allows you to store validated JSON, automatically handling serialization to and from the database. To use, add jsonfield.JSONField to one of your models. Note: django.contrib.postgres now supports PostgreSQL's jsonb type, which includes extended querying capabilities. If you're an end user of PostgreSQL and want full-featured JSON support, then it is recommended that you use the built-in JSONField. However, jsonfield is still useful when your app needs to be database-agnostic, or when the built-in JSONField's extended querying is not being leveraged. e.g., a configuration field. ...

Up to 10 times faster 100% JDK Serialization compatible drop-in replacement (Ok, might be 99% ..). As an example: Lambda Serialization which came with 1.8 worked instantly. Android compatible since version 2.17 (use FSTConfiguration.createAndroidDefaultConfiguration() both on the server and client side. The configuration object has to be passed into FSTObjectIn/Output constructors) FSTStructs is very similar to IBM's packed objects. The difference is you can run it with Oracle JDK today. ...

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).

There's been a lot of churn around AMS since it began back in Rails 3.2 and a lot of new libraries are around and the JSON:API spec has reached 1.0. If there is to be a 1.0 release of AMS, it will need to address the general needs of serialization in much the way ActiveJob can be used with different workers. The next major release is in development. We're starting simple and avoiding, at least at the outset, all the complications in AMS version, especially all the implicit behavior from...