Open Source Linux JSON Serialization Libraries
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JSON Serialization Libraries for Linux
View 9225 business solutionsBrowse free open source JSON Serialization Libraries and projects for Linux 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
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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ArduinoJson
JSON library for Arduino and embedded C++. Simple and efficient
ArduinoJson is a C++ JSON library for Arduino and IoT (Internet Of Things). ArduinoJson has a simple and intuitive syntax to handle objects and arrays. ArduinoJson supports both JSON serialization and deserialization. ArduinoJson uses a fixed memory allocation, allowing to work on devices with very little RAM. ArduinoJson can filter large inputs to keep only fields that are relevant to your application, thereby saving a lot of memory. ArduinoJson can parse directly from an input Stream or std::istream. ArduinoJson can produce compact or prettified documents. ArduinoJson works directly with strings stored in program memory. ArduinoJson supports two coding styles, with implicit or explicit casts. ArduinoJson deduplicates strings in the JSON document. When you have several identical keys or values, the JsonDocument only stores one of each. In practice, this feature reduces memory consumption by 20-30%. -
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RestSharp
Simple REST and HTTP API Client for .NET
RestSharp is probably the most popular HTTP client library for .NET. Featuring automatic serialization and deserialization, request and response type detection, variety of authentications and other useful features, it is being used by hundreds of thousands of projects. RestSharp passed over 32 million downloads on NuGet, with average daily download count of 10,000. It's being used by many popular OSS projects, including Roslyn and Swagger. The main purpose of RestSharp is to make synchronous and asynchronous calls to remote resources over HTTP. As the name suggests, the main audience of RestSharp are developers who use REST APIs. However, RestSharp can call any API over HTTP (but not HTTP/2), as long as you have the resource URI and request parameters that you want to send comply with W3C HTTP standards. RestSharp can take care of serializing the request body to JSON or XML and deserialize the response. It can also form a valid request URI based on different parameter kinds. -
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JsonCpp
A C++ library for interacting with JSON
JSON is a lightweight data-interchange format. It can represent numbers, strings, ordered sequences of values, and collections of name/value pairs. JsonCpp is a C++ library that allows manipulating JSON values, including serialization and deserialization to and from strings. It can also preserve existing comment in unserialization/serialization steps, making it a convenient format to store user input files. The branch 00.11.zis a new branch, its major version number 00 is to show that it is different from 0.y.z and 1.y.z, the main purpose of this branch is to make a balance between the other two branches. Thus, users can use some new features in this new branch that introduced in 1.y.z, but can hardly applied into 0.y.z. You can download and install JsonCpp using the vcpkg dependency manager. The JsonCpp port in vcpkg is kept up to date by Microsoft team members and community contributors. -
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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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jwx
Implementation of various JWx (Javascript Object Signing
Go module implementing various JWx (JWA/JWE/JWK/JWS/JWT, otherwise known as JOSE) technologies. If you are using this module in your product or your company, please add your product and/or company name in the Wiki! It really helps keeping up our motivation. Complete coverage of JWA/JWE/JWK/JWS/JWT, not just JWT+minimum tool set. Supports JWS messages with multiple signatures, both compact and JSON serialization. Supports JWS with detached payload. Supports JWS with unencoded payload (RFC7797). Supports JWE messages with multiple recipients, both compact and JSON serialization. Most operations work with either JWK or raw keys e.g. *rsa.PrivateKey, *ecdsa.PrivateKey, etc). Opinionated, but very uniform API. Everything is symmetric, and follows a standard convention. Arguments are organized as explicit required paramters and optional WithXXXX() style options. -
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Connexion
Swagger/OpenAPI First framework for Python on top of Flask
Connexion is a framework on top of Flask that automagically handles HTTP requests defined using OpenAPI (formerly known as Swagger), supporting both v2.0 and v3.0 of the specification. Connexion allows you to write these specifications, then maps the endpoints to your Python functions. This is what makes it unique from other tools that generate the specification based on your Python code. You are free to describe your REST API with as much detail as you want and then Connexion guarantees that it will work as you specified. We built Connexion this way in order to simplify the development process. Reduce misinterpretation about what an API is going to look like. With Connexion, you write the spec first. Connexion then calls your Python code, handling the mapping from the specification to the code. This incentivizes you to write the specification so that all of your developers can understand what your API does, even before you write a single line of code. -
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Framework Benchmarks
Source for the TechEmpower Framework Benchmarks project
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#, F#,Clojure, Groovy, Dart, JavaScript, Erlang, Haskell, Scala, Perl, Lua, C, and others. The current tests exercise plaintext responses, JSON serialization, database reads and writes via the object-relational mapper (ORM), collections, sorting, server-side templates, and XSS counter-measures. Future tests will exercise other components and greater computation. -
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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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DocArray
The data structure for multimodal data
DocArray is a library for nested, unstructured, multimodal data in transit, including text, image, audio, video, 3D mesh, etc. It allows deep-learning engineers to efficiently process, embed, search, recommend, store, and transfer multimodal data with a Pythonic API. Door to multimodal world: super-expressive data structure for representing complicated/mixed/nested text, image, video, audio, 3D mesh data. The foundation data structure of Jina, CLIP-as-service, DALL·E Flow, DiscoArt etc. Data science powerhouse: greatly accelerate data scientists’ work on embedding, k-NN matching, querying, visualizing, evaluating via Torch/TensorFlow/ONNX/PaddlePaddle on CPU/GPU. Data in transit: optimized for network communication, ready-to-wire at anytime with fast and compressed serialization in Protobuf, bytes, base64, JSON, CSV, DataFrame. Perfect for streaming and out-of-memory data. One-stop k-NN: Unified and consistent API for mainstream vector databases. -
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J2J provides an intuitive way to convert Java to JSON and JSON to Java. Annotate any Java class then use JsonWriter to emit JSON from java or JsonReader to convert JSON to java objects. (source code and tutorial included) Version 2.0 in development.
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Laos
Linux Auto Operator System
A - possibly - lightweight passive automation tool for Linux/POSIX systems -
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Spring Data Redis
Provides support to increase developer productivity in Java
Provides support to increase developer productivity in Java when using Redis, a key-value store. Uses familiar Spring concepts such as a template class for core API usage and lightweight repository-style data access. The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud-based data services. Connection package as low-level abstraction across multiple Redis drivers (Lettuce and Jedis). Exception translation to Spring’s portable Data Access exception hierarchy for Redis driver exceptions. RedisTemplate that provides a high level abstraction for performing various Redis operations, exception translation and serialization support. Pubsub support (such as a MessageListenerContainer for message-driven POJOs). Redis Sentinel and Redis Cluster support. Reactive API using the Lettuce driver. JDK, String, JSON and Spring Object/X. -
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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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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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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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jsonfield
A reusable Django model field for storing ad-hoc JSON data
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. JSONField is not intended to provide extended querying capabilities. That said, you may perform the same basic lookups provided by regular text fields (e.g., exact or regex lookups). Since values are stored as serialized JSON, it is highly recommended that you test your queries to ensure the expected results are returned. -
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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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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.
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