Open Source Linux JSON Software - Page 18
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json-rules-engine
A rules engine expressed in JSON
A rules engine expressed in JSON. json-rules-engine is a powerful, lightweight rules engine. Rules are composed of simple json structures, making them human-readable and easy to persist. -
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json-rust
JSON implementation in Rust
Parse and serialize JSON with ease. JSON is a very loose format where anything goes - arrays can hold mixed types, object keys can change types between API calls or not include some keys under some conditions. Mapping that to idiomatic Rust structs introduces friction. -
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Python library provides the briefest way to construct SQL queries in JSON form. Simple example: ('*','table',id:[1,3]) is Select * from table where id in [1,3]. Sqlalchemy patch module is provided to extend sqlalchemy with convenient jsonSQL meth
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json_library
Another C++ based JSON Library (/w Parser/Generator/Navigator)
Native C++ implementation of a JSON library. Contains a Parser, a Generator and and easy-to-use Navigator in one single class. To build you will need at least a C++11 capable compiler such as MSVC 10 (express edition). There is no other 3rd party library required to compile or run it. -
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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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jsondiff
Diff JSON and JSON-like structures in Python
Diff JSON and JSON-like structures in Python. -
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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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jsonista
Clojure library for fast JSON encoding and decoding
Clojure library for fast JSON encoding and decoding. -
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jsoniter-scala
Scala macros for compile-time generation of safe and ultra-fast JSON
Scala macros for compile-time generation of safe and ultra-fast JSON codecs. This library had started from macros that reused jsoniter (json-iterator) for Java reader and writer but then the library evolved to have its own core of mechanics for parsing and serialization. The idea to generate codecs by Scala macros and main details was borrowed from Kryo Macros and adapted for the needs of the JSON domain. Validate parsed values safely with the fail-fast approach and clear reporting, provide configurable limits for suboptimal data structures with safe defaults to be resilient for DoS attacks, generate codecs that create instances of a fixed set of classes during parsing to avoid RCE attacks. -
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jsonschema
An implementation of the JSON Schema specification for Python
jsonschema is an implementation of the JSON Schema specification for Python. Full support for Draft 2020-12, Draft 2019-09, Draft 7, Draft 6, Draft 4 and Draft 3. Lazy validation that can iteratively report all validation errors. Programmatic querying of which properties or items failed validation. -
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jsonschema2pojo
Generate Java types from JSON or JSON Schema for data-binding
Generate plain old Java objects from JSON or JSON-Schema. For each property present in the 'properties' definition, we add a property to a given Java class according to the JavaBeans spec. A private field is added to the parent class, along with accompanying accessor methods (getter and setter). If additionalProperties is specified and set to the boolean value false, then the generated Java type does not support additional properties. If the additionalProperties node is undefined (not present), null or empty, then a new bean property named "additionalProperties", of type Map<String,Object> is added to the generated type (with appropriate accessors). The accessors are annotated to allow Jackson to marshal/unmarshal unrecognised (additional) properties found in JSON data from/to this map. -
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jtc
JSON processing utility
jtc stand for: JSON transformational chains (used to be JSON test console). jtc offers a powerful way to select one or multiple elements from a source JSON and apply various actions on the selected elements at once (wrap selected elements into a new JSON, filter in/out, sort elements, update elements, insert new elements, remove, copy, move, compare, transform, swap around and many other operations). -
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A powerful but lightweight configuration-, dependency-injection-, and scripting framework for the JVM, leveraging a combination of annotations and the standard Java script engine framework to provide self-validating scriptable configuration files
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jwt-cli
A super fast CLI tool to decode and encode JWTs built in Rust
A super-fast CLI tool to decode and encode JWTs built in Rust. jwt-cli is a command line tool to help you work with JSON Web Tokens (JWTs). Like most JWT command line tools out there, you can decode almost any JWT header and claims body. Unlike any that I've found, however, jwt-cli allows you to encode a new JWT with nearly any piece of data you can think of. Custom header values (some), custom claim bodies (as long as it's JSON, it's game), and using any secret you need. -
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libjson-rpc-cpp
C++ framework for json-rpc (json remote procedure call)
This framework provides cross-platform JSON-RPC (remote procedure call) support for C++. It is fully JSON-RPC 2.0 & 1.0 compatible. -
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This project is hosted on Github: https://github.com/cinemast/libjson-rpc-cpp
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libqt4json
Serializator / Deserializator JSON for Qt4 QVariant
Serializator / Deserializator JSON for Qt4 QVariant based on the json-c parser from https://github.com/json-c/json-c -
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Set of JavaScript classes (based on Mootools library) for dynamic creation of sortable HTML tables with cool effects (like: tracking cell/row updates and sorting effect). Tiny and easy to use with HTTP services. Supports differential table updates.
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log4rs
A highly configurable logging framework for Rust
log4rs is a highly configurable logging framework modeled after Java's Logback and log4j libraries. If you are using the file rotation in your configuration there is a known substantial performance issue so listen up! By default the gzip feature is enabled and when rolling files it will zip log archives automatically. This is a problem when the log archives are large as the zip happens in the main thread and will halt the process while the zip is completed. Be advised that the gzip feature will be removed from default features as of 1.0. -
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lowdb
Small local JSON database powered by Lodash
Small JSON database for Node, Electron and the browser. Powered by Lodash. You can use any of the powerful lodash functions, like _.get and _.find with shorthand syntax. Lowdb is perfect for CLIs, small servers, Electron apps and npm packages in general. It supports Node, the browser and uses lodash API, so it's very simple to learn. Actually, if you know Lodash, you already know how to use lowdb. lowdb doesn't support Cluster and may have issues with very large JSON files (~200MB). A UMD build is also available on unpkg for testing and quick prototyping. Database lodash instance. Use it to add your own utility functions or third-party mixins like underscore-contrib or lodash-id. With lowdb, you get access to the entire lodash API, so there are many ways to query and manipulate data. -
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msgspec
A fast serialization and validation library, with builtin
msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. -
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Ein kleiner Kalender Server der eine WEB-GUI hat und XML sowie ICAL formate versendet und empfangen kann. LOGIN über HTTP und verschlüsselte Übertragung bei Socketverbindungen
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ndexr
Indexes directories and outputs to JSON
Tool to use from Python interactive interpreter or script. Use it to make JSON indexes of all files in a directory, or files of a certain type. Could be used to observe activity in a server directory, to generate JSON to send to clients searching remotely, or to keep an index of files in a directory when the user of that directory does not have permission to probe the files system for files without knowing their names. Uses a configuration file, or optionally you can pass configuration information as keyword arguments. Also see recursive example. -
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njson
Cross-platform JSON parser for C++11 without external dependencies.
See full description in ReadMe.txt in project's root. Check out homepage on bitbucket for quick access.
