Open Source JSON Serialization Libraries - Page 2
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JSON Serialization Libraries
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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. -
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PeerJS
Simple peer-to-peer with WebRTC
PeerJS wraps the browser's WebRTC implementation to provide a complete, configurable, and easy-to-use peer-to-peer connection API. Equipped with nothing but an ID, a peer can create a P2P data or media stream connection to a remote peer. To broker connections, PeerJS connects to a PeerServer. Note that no peer-to-peer data goes through the server. The server acts only as a connection broker. If you don't want to run your own PeerServer, we offer a free cloud-hosted version of PeerServer. PeerServer is open source and is written in node.js. You can easily run your own. PeerJS simplifies peer-to-peer data, video, and audio calls. Add the PeerJS client library to your webpage. The Peer object is where we create and receive connections. PeerJS uses PeerServer for session metadata and candidate signaling. Every Peer object is assigned a random, unique ID when it's created. -
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A language independent light weight object oriented very fast serialization and desserialization to be used in high trafic communication architectures
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Trivial Serialization Library
C++11 serialization library
Trivial Serialization Library (TSL) is a simple C++11 framework for object [de]serialization. -
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Twirp
A simple RPC framework with protobuf service definitions
Twirp is a simple RPC framework built on protobuf. You define a service in a .proto specification file, then Twirp will generate servers and clients for that service. It's your job to fill in the "business logic" that powers the server, and then generated clients can consume your service straight away. Twirp routing and serialization reduces the risk of introducing bugs. Both JSON and Protobuf are supported. The Protobuf protocol is designed to allow backwards compatible changes (unlike JSON, it is trivial to rename fields). Protobuf is super fast and the proto file definition also works well as documentation for your service. Twirp is similar to gRPC, but without the custom HTTP server and transport implementations: it runs on the standard library's extremely-well-tested-and-high-performance net/http Server. It can run on HTTP 1.1, not just http/2, and supports JSON serialization for easy debugging. -
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Xion (pronounced "zaion") is a text-based serialization format of object states. Xion extends the JSON format by permitting "tagged" notations. This project provides an implementation of Xion in Java, including the object model, parser and utilities.
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corn-converter
Bidirectional java type converters (JSON, XML, ...)
Corn Converter module contains bidirectional java type converters to different target types like JSON and XML. It's simple, flexible and powerful enough satisfy serialization, de-serialization requirements including complex bean types and collections. -
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decimal
Arbitrary-precision fixed-point decimal numbers in go
Arbitrary-precision fixed-point decimal numbers in go. Note: Decimal library can "only" represent numbers with a maximum of 2^31 digits after the decimal point. The zero-value is 0, and is safe to use without initialization. Addition, subtraction, and multiplication with no loss of precision. Division with specified precision. Database/sql serialization/deserialization. JSON and XML serialization/deserialization. big.Int's API is built to reduce the number of memory allocations for maximal performance. This makes sense for its use-case, but the trade-off is that the API is awkward and easy to misuse. In contrast, it's difficult to make such mistakes with decimal. Decimals behave like other go numbers types: even though a = b will not deep copy b into a, it is impossible to modify a Decimal, since all Decimal methods return new Decimals and do not modify the originals. The downside is that this causes extra allocations, so Decimal is less performant. -
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DynAjax is a Javascript / ASP.Net / C# Framework easing dynamic calls to business / service C# methods directly from JavaScript code (like DWR framework does in Java World). The object serialization is based on JSON, permitting complex objects exchange.
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express-openapi-validator
Auto-validates api requests, responses, and securities using ExpressJS
Auto-validates api requests, responses, and securities using ExpressJS and an OpenAPI 3.x specification. Express-openapi-validator is an unopinionated library that integrates with new and existing API applications. express-openapi-validator lets you write code the way you want; it does not impose any coding convention or project layout. Simply, install the validator onto your express app, point it to your OpenAPI 3 specification, then define and implement routes the way you prefer. An OpenApi validator for ExpressJS that automatically validates API requests and responses using an OpenAPI 3 specification. Ensure express is configured with all relevant body parsers. Body parser middleware functions must be specified prior to any validated routes. -
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fast-serialization
FST: fast java serialization drop in-replacement
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. Optionally en/decode any Serializable object graph to JSON (incl. shared references) (since 2.29) for interop -
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jsondata
Modular JSON by trees and branches, pointers and patches
The 'jsondata' package provides for the modular in-memory processing of JSON data by trees, branches, pointers, and patches. The main interface classes are: - JSONData - Core for RFC7159 based data structures. Provides modular data components. - JSONDataSerializer - Core for RFC7159 based data persistence. Provides modular data serialization. - JSONPointer - RFC6901 for addressing by pointer paths. Provides pointer arithmetics. - JSON Relative Pointer - draft-handrews-relative-json-pointer/2018, contained in JSONPointer. - JSONPatch - RFC6902 for modification by patch lists. Provides the assembly of modular patch entries and the serialization of resulting patch lists. - JSONDiff - Diff utility for JSON data. - JSONSearch - Search utility JSON patterns. Online documents: https://jsondata.sourceforge.io/ -
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jul-javascript
JUL - The JavaScript UI Language
The JavaScript UI Language (JUL) is a configuration and instantiation module for the JavaScript frameworks. It can be used with any framework that accepts a configuration object as a constructor parameter, or with a custom factory for the other frameworks. JUL parses a tree of configuration objects, and creates the runtime components in the expected order and membership. For the most uses, after this step, you will have your application's user interface up and running. Browser support: JUL supports all major browsers, including: FF 2+, IE 7+, Edge, Safari 3+, Chrome 1+, Opera 9+, IOS 3+, Android 2+. -
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kvtstore
Key Time Value store
KVTStore is a java library that provides easy access to a backing key value store and utlities such as json serialization and indexing and searching on time. Currently the only backing database that is supported is Riak, with a storage backend that supports secondary indicies, such as LevelDB. -
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quick-json parser
parse/generate json the way you want quickly. configure/validate json
- quick-json features - # Compliant with JSON specification (RFC4627) # High-Performance JSON parser # Supports Flexible/Configurable parsing approach # Configurable validation of key/value pairs of any JSON Heirarchy # Easy to use # Very Less foot print # Raises developer friendly and easy to trace exceptions # Pluggable Custom Validation support - Keys/Values can be validated by configuring custom validators as and when encountered # Validating and Non-Validating parser support # Support for two types of configuration (JSON/XML) for using quick-json validating parser # Require JDK 1.5 # No dependency on external libraries # Support for Json Generation through object serialization # Support for collection type selection during parsing process -
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vcr
Record your test suite's HTTP interactions and replay them
Record your test suite's HTTP interactions and replay them during future test runs for fast, deterministic, accurate tests. We're looking for more maintainers. If you'd like to help maintain a well-used gem please spend some time reviewing pull requests, issues, or participating in discussions. VCR will replay the response from iana.org when the HTTP request is made. This test is now fast (no real HTTP requests are made anymore), deterministic (the test will continue to pass, even if you are offline, or iana.org goes down for maintenance) and accurate (the response will contain the same headers and body you get from a real request). You can use a different cassette library directory (e.g., "test/vcr_cassettes"). The recorded requests and responses are stored on disk in a serialization format of your choice (currently YAML and JSON are built in, and you can easily implement your own custom serializer) and can easily be inspected and edited.
