Open Source JSON Software - Page 3
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JWT
A simple library to work with JSON Web Token and JSON Web Signature
lcobucci/jwt is a framework-agnostic PHP library that allows you to issue, parse, and validate JSON Web Tokens based on the RFC 7519. The package is available on Packagist, you can install it using Composer. A simple library to work with JSON Web Token and JSON Web Signature based on RFC 7519. Once the library has been installed, you are able to issue and parse JWTs. To reduce the chance of having flaky tests on your test suite, the facade supports the usage of a clock object. That allows passing an implementation that always returns the same point in time. -
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MDN data
This repository contains general data for Web technologies
This repository contains general data for Web technologies and is maintained by the MDN team at Mozilla. -
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Miller
Miller is like awk, sed, cut, join, and sort for name-indexed data
Miller is like awk, sed, cut, join, and sort for data formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. With Miller, you get to use named fields without needing to count positional indices, using familiar formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. Then, on the fly, you can add new fields which are functions of existing fields, drop fields, sort, aggregate statistically, pretty-print, and more. Miller operates on key-value-pair data while the familiar Unix tools operate on integer-indexed fields: if the natural data structure for the latter is the array, then Miller's natural data structure is the insertion-ordered hash map. Miller handles a variety of data formats, including but not limited to the familiar CSV, TSV, and JSON/JSON Lines. (Miller can handle positionally-indexed data too!) -
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Murex
A smarter shell and scripting environment with advanced features
Murex is a shell, like bash / zsh / fish / etc however Murex supports improved features and an enhanced UX. Support for additional type information in pipelines, which can be used for complex data formats like JSON or tables. Meaning all of your existing UNIX tools to work more intelligently and without any additional configuration. Usability improvements such as in-line spell checking, context-sensitive hint text that details the behavior of a command before you hit return, and auto-parsing man pages for auto-completions on commands that don't have auto-completions already defined. Smarter handling of errors and debugging tools. For example try/catch blocks, line numbers included in error messages, STDOUT highlighted in red and script testing and debugging frameworks baked into the language itself. -
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Python JSONPath Next-Generation
JSONPath implementation for Python that aims to be standard compliant
A final implementation of JSONPath for Python that aims to be standard compliant, including arithmetic and binary comparison operators, as defined in the original JSONPath proposal. This package merges both jsonpath-rw and jsonpath-rw-ext and provides several AST API enhancements, such as the ability to update or remove nodes in the tree. This library provides a robust and significantly extended implementation of JSONPath for Python. It is tested with CPython 3.7 and higher. This library differs from other JSONPath implementations in that it is a full language implementation, meaning the JSONPath expressions are first-class objects, easy to analyze, transform, parse, print, and extend. -
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StringZilla
10x faster string search, split, sort, and shuffle for long strings
StringZilla is the Godzilla of string libraries, splitting, sorting, and shuffling large textual datasets. StringZilla uses a heuristic so simple it's almost stupid... but it works. It matches the first few letters of words with hyper-scalar code to achieve memcpy speeds. The implementation fits into a single C 99 header file and uses different SIMD flavors and SWAR on older platforms. The Str is designed to replace long Python str strings and wrap our C-level API. On the other hand, the File memory-maps a file from persistent memory without loading its copy into RAM. The contents of that file would remain immutable, and the mapping can be shared by multiple Python processes simultaneously. A standard dataset pre-processing use case would be to map a sizeable textual dataset like Common Crawl into memory, spawn child processes, and split the job between them. -
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aws-security-viz
Visualize your aws security groups
Need a quick way to visualize your current aws/amazon ec2 security group configuration? aws-security-viz does just that based on the EC2 security group ingress configuration. -
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fast-json-stringify
2x faster than JSON.stringify()
fast-json-stringify is significantly faster than JSON.stringify() for small payloads. Its performance advantage shrinks as your payload grows. It pairs well with flatstr, which triggers a V8 optimization that improves performance when eventually converting the string to a Buffer. -
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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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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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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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sq data wrangler
sq data wrangler
sq is a command line tool that provides jq-style access to structured data sources: SQL databases, or document formats like CSV or Excel. sq executes jq-like queries, or database-native SQL. It can join across sources: join a CSV file to a Postgres table, or MySQL with Excel. sq outputs to a multitude of formats including JSON, Excel, CSV, HTML, Markdown and XML, and can insert query results directly to a SQL database. sq can also inspect sources to view metadata about the source structure (tables, columns, size). You can use sq diff to compare tables, or entire databases. sq has commands for common database operations to copy, truncate, and drop tables. -
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Ajv JSON schema validator
The fastest JSON schema Validator
Security and reliability for JavaScript applications. Ensure your data is valid as soon as it's received. Instead of having your data validation and sanitization logic written as lengthy code, you can declare the requirements to your data with concise, easy to read and cross-platform JSON Schema or JSON Type Definition specifications and validate the data as soon as it arrives to your application. TypeScript users can use validation functions as type guards, having type level guarantee that if your data is validated, it is correct. Ajv was designed at the time when there were no validators fully complying with JSON Schema specification, aiming to achieve the best possibly validation performance via just-in-time compilation of JSON schemas to code. Ajv achieved both speed and rigour, but initially security was an afterthought, many security flaws have been fixed thanks to the reports from its users. -
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BSON parser
BSON Parser for node and browser
BSON parser is the core JavaScript implementation of BSON (Binary JSON), the data format used by MongoDB to represent documents on the wire and in storage. It provides encoding and decoding capabilities so JavaScript environments like Node.js and browsers can serialize rich data structures (including types not native to JSON) into the compact, efficient BSON binary representation used by MongoDB drivers and servers. Value types such as ObjectId, Binary, UTC datetime, Decimal128, and Long are provided as first-class objects, enabling precise representation of data that would otherwise be lossy or awkward in plain JSON. js-bson is designed for performance, with optimized algorithms for reading and writing binary data, minimizing overhead in database operations. Because it’s a foundational building block for MongoDB drivers in JavaScript, the library ensures consistency and compatibility between client applications and the MongoDB server. -
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Express Zod API
A Typescript library to help you get an API server up and running
Start your API server with I/O schema validation and custom middlewares in minutes. I made this library because of the often repetitive tasks of starting a web server API with the need to validate input data. It integrates and provides the capabilities of popular web servers, logger, validation, and document solutions. Therefore, many basic tasks can be accomplished faster and easier. -
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Glaze
Extremely fast, in memory, JSON and interface library for modern C++
One of the fastest JSON libraries in the world. Glaze reads and writes from C++ memory, simplifying interfaces and offering incredible performance. Glaze also supports binary messages via BEVE and CSV support. And, the library has many more useful features for building APIs. -
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Grafana Tanka
Flexible, reusable and concise configuration for Kubernetes
The clean, concise, and super flexible alternative to YAML for your Kubernetes cluster. -
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JSON Crack
Innovative and open-source visualization application
JSON Crack is a free, open-source data visualization app capable of visualizing data formats such as JSON, YAML, XML, CSV and more, into interactive graphs. With its intuitive and user-friendly interface, JSON Crack makes it easy to explore, analyze, and understand even the most complex data structures. Whether you're a developer working on a large-scale project or a data enthusiast looking to uncover hidden insights, JSON Crack has the tools and features you need to unlock the full potential of your data. -
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JSON Lint
JSON Lint for PHP
JSON Lint is a PHP library and command-line tool for validating and parsing JSON documents. Its lint method returns detailed parsing errors without decoding the input, while parse produces PHP values and throws exceptions when the document is invalid. Error messages include the relevant line, nearby text, a position marker, and the tokens expected by the parser. Optional flags can reject duplicate object keys, preserve them under generated names, or collect repeated values into arrays. The parser can also return associative arrays and accept JavaScript-style inline or block comments. UTF-8 validation detects malformed byte sequences and reports the first invalid position. The package supports a wide range of PHP releases and installs through Composer with an included jsonlint executable. -
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JSON Schema Validator
A fast Java JSON schema validator that supports draft V4, V6, V7, V201
This is a Java implementation of the JSON Schema Core Draft v4, v6, v7, v2019-09 and v2020-12(partial) specification for JSON schema validation. In addition, it also works for OpenAPI 3.0 request/response validation with some configuration flags. For users who want to collect information from a JSON node based on the schema, the walkers can help. The default JSON parser is the Jackson which is the most popular one. As it is a key component in our light-4j microservices framework to validate request/response against OpenAPI specification for light-rest-4j and RPC schema for light-hybrid-4j at runtime, performance is the most important aspect in the design. -
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JSONConverter
owerful and beautiful JSON-to-model MacOS app
A MacOS application with a beautiful interface and powerful functions, it formats JSON and generates model class code in the corresponding language, supports multiple development languages and its popular third-party class libraries, multiple configuration options, and flexibly builds classes -
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JSONView
A web extension that helps you view JSON documents in the browser
A web extension that helps you view JSON documents in the browser. Normally when encountering a JSON document (content type application/json), Firefox simply prompts you to download the view. With the JSONView extension, JSON documents are shown in the browser similar to how XML documents are shown. The document is formatted, highlighted, and arrays and objects can be collapsed. Even if the JSON document contains errors, JSONView will still show the raw text. JSONView is a Web extension compatible with Firefox and Google Chrome that helps you view JSON documents in the browser. Once you've got JSONView installed, check out the example JSON file to see the extension in action! If you'd like to contribute to JSONView but don't want to code, consider contributing a translation. Copy the existing localization files from src/_locale and fill them in for your own language, then send a pull request. You can do it all from the GitHub interface. There's not many strings to translate! -
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PHP7
PHP7 / Laravel Multi-format Streaming Parser
When it comes to parsing XML/CSV/JSON/... documents, there are 2 approaches to consider. DOM loading loads all the documents, making it easy to navigate and parse, and as such provides maximum flexibility for developers. Streaming implies iterating through the document, acts like a cursor, and stops at each element in its way, thus avoiding memory overkill. Thus, when it comes to big files, callbacks will be executed meanwhile file is downloading and will be much more efficient as far as memory is concerned. -
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World countries JSON
Constantly updated lists of world countries
Constantly updated lists of world countries and their associated alpha-2, alpha-3 and numeric country codes as defined by the ISO 3166 standard, available in CSV, JSON , PHP, SQL and XML formats, in multiple languages and with national flags included; also available are the ISO 3166-2 codes of provinces/ states associated with the countries. Also available are the ISO 3166-2 codes used for identifying the principal subdivisions (e.g., provinces or states) of all countries coded in ISO 3166-1. -
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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.
