Open Source Linux JSON Serialization Libraries - Page 2

JSON Serialization Libraries for Linux

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  • 1
    fast-serialization

    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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  • 2
    jsondata

    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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  • 3
    jul-javascript

    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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  • 4

    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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  • 5
    vcr

    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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