Open Source Linux JSON Software
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JSON Software for Linux
View 8255 business solutionsBrowse free open source JSON software and projects for Linux below. Use the toggles on the left to filter open source JSON software 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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Google Photos Takeout Helper
Script that organizes the Google Takeout archive
If you ever want to move from Google Photos to another platform/solution, your fastest choice to export all photos is Google Takeout. But when you download it, you will find yourself with zips with hundreds of little folders with weird .json files inside. What if you want to just have one folder with all photos, in chronological order? Good luck copying all of that. -
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keycloak-config-cli
Import YAML/JSON-formatted configuration files into Keycloak
keycloak-config-cli is a Keycloak utility to ensure the desired configuration state for a realm based on a JSON/YAML file. The format of the JSON/YAML file is based on the export realm format. Store and handle the configuration files inside git just like normal code. A Keycloak restart isn't required to apply the configuration. The config files are based on the keycloak export files. You can use them to re-import your settings. But keep your files as small as possible. Remove all UUIDs and all stuff that is default set by keycloak. -
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anime-offline-database
A JSON based anime data set with important meta data
The purpose of this repository is to create an offline database containing anime metadata aggregated by different anime metadata providers (such as myanimelist.net, anidb.net, kitsu.io, and more) and allow cross-references between those metadata providers. This file is supposed to be used by and created for manami. A JSON-based anime data set containing the most important meta data as well as cross-references to various anime sites such as MAL, ANIDB, ANILIST, KITSU, and more. -
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JSONViewer for Notepad++
A JSON viewer plugin for Notepad++
This plugin is meant to display a JSON string in a Treeview. It also marks the error position in case of parsing errors, and that's it. The plugin can be used in Notepad++. -
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Saw
Fast, multi-purpose tool for AWS CloudWatch Logs
saw is a multi-purpose tool for AWS CloudWatch Logs. -
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JSON for Modern C++
JSON that's part of C++
This is JSON for C++, a JSON library unlike any other that's packed with plenty of great features. While there may be dozens of JSON libraries out there, JSON for C++ stands out with a focus on three things: an intuitive syntax, trivial integration and serious testing. Using the operator magic of modern C++, this library makes JSON feel like a first class data type. With trivial integration, the entire code is made up of a single header file json.hpp, no dependencies, no complex build system required. It's been heavily unit-tested covering 100% of the code, and follows the Core Infrastructure Initiative (CII) best practices to ensure the highest quality at all times. Among its many features are JSON pointers, JSON patches, Iterators, SAX parsing and various container operations. -
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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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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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jq
Lightweight and flexible command-line JSON processor
jq is like sed for JSON data - you can use it to slice, filter, map and transform structured data with the same ease that sed, awk, grep and friends let you play with text. jq is written in portable C, and it has zero runtime dependencies. You can download a single binary, scp it to a far away machine of the same type, and expect it to work. jq can mangle the data format that you have into the one that you want with very little effort, and the program to do so is often shorter and simpler than you'd expect. Data in jq is represented as streams of JSON values - every jq expression runs for each value in its input stream, and can produce any number of values to its output stream. jq filters run on a stream of JSON data. The input to jq is parsed as a sequence of whitespace-separated JSON values which are passed through the provided filter one at a time. The output(s) of the filter are written to standard out, again as a sequence of whitespace-separated JSON data. -
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srsly
Modern high-performance serialization utilities for Python
This package bundles some of the best Python serialization libraries into one standalone package, with a high-level API that makes it easy to write code that's correct across platforms and Pythons. This allows us to provide all the serialization utilities we need in a single binary wheel. Currently supports JSON, JSONL, MessagePack, Pickle, and YAML. Serialization is hard, especially across Python versions and multiple platforms. After dealing with many subtle bugs over the years (encodings, locales, large files) our libraries like spaCy and Prodigy have steadily grown a number of utility functions to wrap the multiple serialization formats we need to support (especially json, msgpack and pickle). These wrapping functions ended up duplicated across our codebases, so we wanted to put them in one place. -
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R3nzSkin
Skin changer for League of Legends (LOL)
R3nzSkin is an internal skin changer for League of Legends. Change the skin of your champion, your ward, other champions, towers, minions, and jungle monsters in the game. If your CPU supports the AVX / AVX2 / AVX-512 instruction set, you can enable it in project settings. This should result in more performant code, optimized for your CPU. Currently, SSE2 instructions are selected in project settings. Change skins anytime and unlimited times in a single game. Supports all popular languages in the world. -
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Countries States Cities Database
Discover our global repository of countries, states, and cities
Full Database of city state country available in JSON, SQL, XML, YAML & CSV format. All Countries, States and cities are Covered and populated with Different Combinations and versions. The API database is regularly updated to ensure the latest data is available to users. Discover our global repository of countries, states, and cities! Get comprehensive data in JSON, SQL, XML, YAML, and CSV formats. Access ISO2, ISO3 codes, country code, capital, native language, time zones (for countries), and more. -
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jp
dead simple terminal plots from JSON data. single binary
Dead simple terminal plots from JSON (or CSV) data. Bar charts, line charts, scatter plots, histograms and heatmaps are supported. -
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toml++
Header-only TOML config file parser and serializer for C++17
Header-only TOML config file parser and serializer for C++17. -
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sttr
Cross-platform, cli app to perform various operations on string
sttr is command-line software that allows you to quickly run various transformation operations on the string. -
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D++
C++ Discord API Bot Library - D++ is Lightweight and scalable
D++ is a lightweight and simple library for Discord written in modern C++. It is designed to cover as much of the API specification as possible and to have an incredibly small memory footprint, even when caching large amounts of data. It is created by the developer of TriviaBot and contributed to by a dedicated team of developers. -
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An ultra-lightweight, portable, single-file, simple-as-can-be ANSI-C compliant JSON parser, under MIT license. Moved to https://github.com/DaveGamble/cJSON
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Editor.js
A block-style editor with clean JSON output
Editor.js is an open-source text editor offering a variety of features to help users create and format content efficiently. It has a modern, block-style interface that allows users to easily add and arrange different types of content, such as text, images, lists, quotes, etc. Each Block is provided via a separate plugin making Editor.js extremely flexible. Editor.js outputs clean JSON data instead of heavy HTML markup. Use it in the Web, iOS, Android, AMP, Instant Articles, speech readers, and AI chatbots, everywhere. Easy to sanitize, extend, and integrate with your logic. -
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dyff
diff tool for YAML files, and sometimes JSON
A diff tool for YAML files, and sometimes JSON. dyff is inspired by the way the old BOSH v1 deployment output reported changes from one version to another by only showing the parts of a YAML file that changed. Similar to the standard diff tool, it follows the principle of describing the change by going from the input file to the target to the input file. Input files can be local files (filesystem path), remote files (URI), or the standard input stream (using -). -
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OSCAL
Open Security Controls Assessment Language (OSCAL)
NIST is developing the Open Security Controls Assessment Language (OSCAL), a set of hierarchical, XML-, JSON-, and YAML-based formats that provide a standardized representation of information pertaining to the publication, implementation, and assessment of security controls. OSCAL is being developed through a collaborative approach with the public. Public contributions to this project are welcome. With this effort, we are stressing the agile development of a set of minimal formats that are generic enough to capture the breadth of data in scope (controls specifications), while also capable of ad-hoc tuning and extension to support peculiarities of both (industry or sector) standards and new control types. The OSCAL website provides an overview of the OSCAL project, including an XML and JSON schema reference, examples, and other resources. -
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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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jackson-core
Core part of Jackson that defines Streaming API
This project contains core low-level incremental ("streaming") parser and generator abstractions used by Jackson Data Processor. It also includes the default implementation of handler types (parser, generator) that handle JSON format. The core abstractions are not JSON specific, although naming does contain 'JSON' in many places, due to historical reasons. Only packages that specifically contain the word 'json' are JSON-specific. This package is the base on which Jackson's data-binding package builds on. It is licensed under Apache License 2.0. Alternate data format implementations (like Smile (binary JSON), XML, CSV, Protobuf, and CBOR) also build on this base package, implementing the core interfaces, and making it possible to use standard data-binding packages regardless of underlying data format. -
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Biome
A toolchain for web projects, aimed to provide functionalities
Biome formats and lints your code in a fraction of a second. Biome supports JavaScript, TypeScript, JSON, and CSS. It aims to support all main languages of modern web development. Biome has sane defaults and requires minimal configuration. Biome helps you as much as possible by displaying detailed and contextualized diagnostics. Biome unifies functionality that has previously been separate tools. Building upon a shared base allows us to provide a cohesive experience for processing code, displaying errors, parallelizing work, caching, and configuration. -
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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.
