Open Source Linux JSON Software - Page 4
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Java JWT JSON
Java JWT: JSON Web Token for Java and Android
JJWT aims to be the easiest-to-use and understand library for creating and verifying JSON Web Tokens (JWTs) and JSON Web Keys (JWKs) on the JVM and Android. JJWT is a pure Java implementation based exclusively on the JOSE Working Group RFC specifications. -
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Logstash Logback Encoder
Logback JSON encoder and appenders
Provides log back encoders, layouts, and appenders to log in JSON and other formats supported by Jackson. Supports both regular LoggingEvents (logged through a Logger) and AccessEvents (logged via logback-access). Originally written to support output in Logstash's JSON format, but has evolved into a highly configurable, general-purpose, structured logging mechanism for JSON and other Jackson data forms. The structure of the output, and the data it contains, is fully configurable. The general composite JSON encoders/layouts can be used to output any JSON format/data by configuring them with various JSON providers. The Logstash encoders/layouts are really just extensions of the general composite JSON encoders/layouts with a pre-defined set of providers. The logstash encoders/layouts are easier to configure if you want to use the standard logstash version 1 output format. -
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MSON
Generate an app from JSON
The MSON compiler allows you to generate apps from JSON. The ultimate goal of MSON is to allow anyone to develop software visually, but you can also use pieces of MSON to turbo charge your development. MSON is a subset of JSON and comprised of just a few building blocks, yet it is as powerful as its non-declarative counterparts. MSON supports validation, inheritance, composition, pub/sub, access control, templating and various other features. MSON is particularly useful in software that generates other software, e.g. a form builder. This is because MSON is just JSON, so it is easy to consume, modify and store. MSON is framework agnostic, but the default mson-react rendering layer uses React and Material-UI to generate a UI. The rendering layer is pluggable and can be written to support any framework and UI library. The MSON library can also be used without any UI dependecies, which makes it great for things like data validation in both the front and back ends. -
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Rapid YAML
Library to parse and emit YAML, and do it fast
Or ryml, for short. ryml is a C++ library to parse and emit YAML, and do it fast, on everything from x64 to bare-metal chips without operating system. (If you are looking to use your programs with a YAML tree as a configuration tree with override facilities, take a look at c4conf). ryml parses both read-only and in-situ source buffers; the resulting data nodes hold only views to sub-ranges of the source buffer. No string copies or duplications are done, and no virtual functions are used. The data tree is a flat index-based structure stored in a single array. Serialization happens only at your direct request, after parsing / before emitting. Internally, the data tree representation stores only string views and has no knowledge of types, but of course, every node can have a YAML type tag. ryml makes it easy and fast to read and modify the data tree. -
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SQLModel
SQL databases in Python, designed for simplicity, compatibility
SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness. SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. SQLModel is based on Python-type annotations, and powered by Pydantic and SQLAlchemy. -
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Shale
Shale is a Ruby object mapper and serializer for JSON, YAML, TOML
Shale is a Ruby object mapper and serializer for JSON, YAML, TOML, CSV and XML. It allows you to parse JSON, YAML, TOML, CSV and XML data and convert it into Ruby data structures, as well as serialize data structures into JSON, YAML, TOML, CSV or XML. -
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Vince's CSV Parser
A modern C++ library for reading, writing, and analyzing CSV
There's plenty of other CSV parsers in the wild, but I had a hard time finding what I wanted. Inspired by Python's csv module, I wanted a library with simple, intuitive syntax. Furthermore, I wanted support for special use cases such as calculating statistics on very large files. With the deluge of large datasets available, a performant CSV parser is a necessity. By using overlapped threads, memory-mapped IO, and efficient data structures, this parser can quickly tackle large CSV files. Furthermore, this parser has a minimal memory footprint and can handle larger-than-RAM files. -
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Wrap
The easy to use Swift JSON encoder
Wrap is an easy-to-use Swift JSON encoder. Don't spend hours writing JSON encoding code - just wrap it instead. Using Wrap is as easy as calling wrap() on any instance of a class or struct that you wish to encode. It automatically encodes all of your type’s properties, including nested objects, collections, enums and more. It also provides a suite of simple but powerful customization APIs that enables you to use it on any model setup with ease. -
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algeria-cities
The list of all Algerian provinces and cities
This repository contains a list of all the administrative provinces and cities in Algeria. The data is up-to-date according to the official source of the Algerian Interior Ministry, including the 10 new Wilayas. -
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granary
The social web translator
The social web translator. Fetches and converts data between social networks, HTML and JSON with microformats2, ActivityStreams/ActivityPub, Atom, JSON Feed, and more. Granary is a library and REST API that fetches and converts between a wide variety of social data sources and formats. Free yourself from silo API chaff and expose the sweet social data foodstuff inside in standard formats and protocols. -
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jless
jless is a command-line JSON viewer designed for reading
jless is a command-line JSON viewer. Use it as a replacement for whatever combination of less, jq, cat and your editor you currently use for viewing JSON files. It is written in Rust and can be installed as a single standalone binary. Clean syntax highlighted display of JSON data, omitting quotes around object keys, closing object and array delimiters, and trailing commas. Expand and collapse objects and arrays so you can see both the high- and low-level structure of the data. -
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json-joy
json-joy — JSON CRDT, JSON CRDT Patch, JSON Patch
json-joy library implements cutting-edge real-time and collaborative editing algorithms and other utilities for JSON data models. Major focus of json-joy is development of the JSON CRDT protocol, a Conflict-free Replicated Data Type that enables seamless merging of changes in JSON data models, avoiding conflicts between replicas. -
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json-render
Generate dashboards, widgets, apps, and data visualizations
json-render is a lightweight, framework-agnostic utility designed to turn JSON data into usable HTML layouts automatically, offering a straightforward way to visualize structured data without writing bespoke template code. It takes deeply nested JSON objects and renders them into intuitive, readable UIs by mapping data types and keys to semantic HTML elements, which helps developers prototype dashboards, debugging tools, or data-driven interfaces quickly. The tool is built to be embeddable in any JavaScript environment — client-side or server-side — without dependencies on a particular frontend framework, making it easy to drop into documentation sites, dev tools, or internal utilities. JSON-Render also supports customization hooks and configuration options so that developers can fine-tune how types are displayed, apply custom styling, and inject interactive behaviors like folding nested sections or filtering keys. -
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jsondiffpatch
Diff & patch JavaScript objects
Diff & patch JavaScript objects. -
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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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orjson
Fast, correct Python JSON library supporting dataclasses, datetimes
orjson is a fast, correct JSON library for Python. It benchmarks as the fastest Python library for JSON and is more correct than the standard json library or other third-party libraries. It serializes dataclass, datetime, numpy, and UUID instances natively. orjson supports CPython 3.8, 3.9, 3.10, 3.11, and 3.12. It distributes amd64/x86_64, aarch64/armv8, arm7, POWER/ppc64le, and s390x wheels for Linux, amd64 and aarch64 wheels for macOS, and amd64 and i686/x86 wheels for Windows. orjson does not support PyPy. Releases follow semantic versioning and serializing a new object type without an opt-in flag is considered a breaking change. -
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pmacct
pmacct is a small set of multi-purpose passive network monitoring tool
pmacct is a small set of multi-purpose passive network monitoring tools. It can account for, classify, aggregate, replicate, and export forwarding-plane data, ie. IPv4 and IPv6 traffic; collect and correlate control-plane data via BGP and BMP; collect and correlate RPKI data; collect infrastructure data via Streaming Telemetry. Each component works both as a standalone daemon and as a thread of execution for correlation purposes (ie. enriching NetFlow with BGP data). -
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simdjson
Parsing gigabytes of JSON per second
JSON is everywhere on the Internet. Servers spend a *lot* of time parsing it. We need a fresh approach. The simdjson library uses commonly available SIMD instructions and microparallel algorithms to parse JSON 4x faster than RapidJSON and 25x faster than JSON for Modern C++. The simdjson library uses three-quarters less instructions than state-of-the-art parser RapidJSON. To our knowledge, simdjson is the first fully-validating JSON parser to run at gigabytes per second (GB/s) on commodity processors. It can parse millions of JSON documents per second on a single core. -
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svelte-jsoneditor
Web-based tool to view, edit, format, repair, query, & transform JSON
A web-based tool to view, edit, format, transform, and validate JSON. The library is written with Svelte, but can be used in plain JavaScript too, and in any framework (SolidJS, React, Vue, Angular, etc). View and edit JSON, has a low-level text editor and high-level tree view and table view. Format (beautify) and compact JSON. Sort, query, filter, and transform JSON. JSON schema validation and pluggable custom validation. Color highlighting, undo/redo, search and replace. Utilities like a color picker and timestamp tag. Handles large JSON documents up to 512 MB. -
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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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NOTICE: we have moved to Github -- https://github.com/pljson/pljson PL/JSON is a generic JSON object written in PL/SQL. Using PL/SQL object syntax, users instantiate a JSON objects and then add members, arrays and additional JSON objects. This object type can store JSON data, in Oracle, persistently.
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Xml2Json Converter
Simple tool for converting large XML-files to JSON or JSON to XML
Simple converter tool with GUI (written on JavaFX) for converting large XML-files to JSON and JSON to XML with indicating progress and uses small amount of memory for converting. Starting from 1.2.0 application supports batch converting files from directory by pattern. Uses Java 1.8+ (http://www.oracle.com/technetwork/java/javase/downloads/jre8-downloads-2133155.html). Distributions for Mac, Linux and Windows already have embedded JRE, so just download appropriate distribution and start application. -
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JSON is a lightweight data-interchange format. It can represents integer, real number, string, an ordered sequence of value, and a collection of name/value pairs. QJson is a qt-based library that maps JSON data to QVariant objects.
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JSON Parser
JSON Parser written in C that outputs JSON into D-List list objects
JSON parser is a highly efficient JSON data decoder written in C, that parses JSON data into a form that is very easy to use from within C code. You only need to include the json-parser.h file in your source code. If your project does not already incorporate D-List, you will also need to include dlist.h The JSON parser package also includes a JSON validator that does not parse or create resources, but allows the caller to validate JSON data from unknown sources, prior to any parsing attempts. The JSON data is returned to the caller as a set of hierarchical D-List list objects, that make the data very easy to manage, sort, search or use, and easy to remove when done. Package includes a JSON textural generator which will create JSON grammar data blocks from hierarchical D-List representations of JSON data. The package also includes a variety of support functions to allow C code to easily find, add, and modify JSON values and members in D-List hierarchical structures. -
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ACCESSdb is a JavaScript library used to dynamically connect to and query locally available Microsoft Access database files within Internet Explorer.
