Open Source JSON Software
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JSON Software
View related business solutionsBrowse free open source JSON software and projects 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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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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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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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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Restish
Restish is a CLI for interacting with REST-ish HTTP APIs
Restish is a CLI for interacting with REST-ish HTTP APIs with some nice features built-in, like always having the latest API resources, fields, and operations available when they go live on the API without needing to install or update anything. Check out how Restish compares to cURL & HTTPie. -
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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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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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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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webrpc
webrpc is a schema-driven approach to writing backend services
webrpc is a schema-driven approach to writing backend servers for the Web. Write your server's API interface in a schema format of RIDL or JSON, and then run webrpc-gen to generate the networking source code for your server and client apps. From the schema, webrpc-gen will generate application-based class types/interfaces, JSON encoders, and networking code. In doing so, it's able to generate fully functioning and typed client libraries to communicate with your server. Enjoy strongly-typed Web services and never have to write an API client library again. -
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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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jql
A JSON Query Language CLI tool
jql is a JSON Query Language tool built with Rust. -
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Open Policy Agent
An open source, general-purpose policy engine
Policy-based control for cloud-native environments. Flexible, fine-grained control for administrators across the stack. Stop using a different policy language, policy model, and policy API for every product and service you use. Use OPA for a unified toolset and framework for policy across the cloud-native stack. Whether for one service or for all your services, use OPA to decouple policy from the service's code so you can release, analyze, and review policies (which security and compliance teams love) without sacrificing availability or performance. -
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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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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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go-jsonschema
A tool to generate Go data types from JSON Schema definitions
go-jsonschema is a tool to generate Go data types from JSON Schema definitions. This tool generates Go data types and structs that corresponds to definitions in the schema, along with unmarshalling code that validates the input JSON according to the schema's validation rules. -
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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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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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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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jaq
A jq clone focussed on correctness, speed, and simplicity
jaq (pronounced like Jacques) is a clone of the JSON data processing tool jq. jaq aims to support a large subset of jq's syntax and operations. Jaq aims to provide a more correct and predictable implementation of jq, while preserving compatibility with jq in most cases. -
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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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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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alp
Access Log Profiler
alp is Access Log Profiler. -
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Spectral
A flexible JSON/YAML linter for creating automated style guides
An open-source API style guide enforcer and linter. Why write API Style Guides as lengthy manifestos when you could automate them? Make sure APIs are secure, consistent, and useful. Spectral is open-source but is also baked into Stoplight, with extensions for VS Code and other integration options, giving you real-time feedback wherever you design APIs. Spectral can be used as a generic ruleset engine on any JSON or YAML data but was built with OpenAPI, AsyncAPI, and JSON Schema in mind. Use Spectral rules to target API descriptions for quality improvement or enforce API Style Guide rules, such as naming conventions for OpenAPI models or prohibiting integers in URLs. -
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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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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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Cortex Analyzers
Cortex Analyzers Repository
Analyzers can be written in any programming language supported by Linux such as Python, Ruby, Perl, etc. Refer to the How to Write and Submit an Analyzer page for details on how to write and submit one.
Guide to Open Source JSON Software
Open source JSON software is used for transforming data into JavaScript Object Notation (JSON) format. This type of software allows users to take structured or unstructured data and transform it into a human-readable format, so that it can be exchanged over the internet or stored in a database. It can also be used as an alternative to XML and HTML formats. The use of open source software makes this transformation process more efficient, as developers are able to customize the code according to their needs.
Open Source JSON software is designed with a clean and easy-to-use user interface, making it simple for even those new to programming languages to carry out complex tasks like creating elements, objects, arrays and other entities without needing knowledge of how object notation works. Additionally, most open source JSON software will include features such as syntax highlighting which makes spotting errors easier than ever before. As well as being intuitive to use many open source programs have libraries of code snippets that are easily accessed from within the program itself saving users from having to manually write long scripts.
Once created documents can then be tested by running them through an automated validation tool included with some applications or developed separately by teams who wish for greater control over results or maintain HIPAA compliance regulations - highly important if any healthcare related data is involved in the exchange. These tools allow users quick access to checking all formatting requirements are met prior sending them on further down the pipeline.
Overall Open Source JSON Software provides powerful options while allowing everyone regardless of technical experience levels a way entering into coding using an industry standard protocol language allowing small businesses and individuals access features usually only found in large corporate organizations giving everyone equal footing when dealing with digital exchanges related their projects no matter what size they may be.
Features Offered by Open Source JSON Software
- Java API: An easy-to-use library written in the Java language that allows developers to parse and generate JSON data. It includes support for a variety of data types, including collections, maps and custom classes.
- JavaScript Implementation: A lightweight JavaScript implementation that lets you encode and decode JSON objects within a browser application. It also supports streaming and AJAX-based applications.
- Native Support: Many popular programming languages like Python, PHP, Ruby, and JavaScript have built-in support for working with JSON data structures. This makes it simpler to read and write data between applications written in different languages.
- Database Connectivity: Open source implementations allow developers to connect their applications to popular relational databases such as MySQL or PostgreSQL by using libraries like Sequelize or ObjectionJS.
- Command Line Tools: Various command line tools are available which make it possible for developers to easily convert text files into valid JSON structures or vice versa without having to write extra code.
- Schema Validation: Validates a given document against specified schema patterns defined in another configuration file before being accepted into the system. This is useful, especially when dealing with complex business logic that can be hard coded into the application layer itself if not handled properly at this layer first.
What Are the Different Types of Open Source JSON Software?
- JSON Libraries: These are collections of software code which developers can use to parse, query and edit JSON data.
- JSON Frameworks: This type of software provides an abstraction layer between the backend database and the application frontend, enabling developers to quickly build robust applications without having to write every line of code from scratch.
- JSON Parsers: These tools help developers decode and store data in a variety of formats (e.g., XML or YAML) into native JavaScript objects that can be easily manipulated.
- JSON Editors: These graphical user interface (GUI) utilities allow users to create, edit, validate and save valid JSON documents. They also offer support for automated formatting, syntax highlighting and error checking.
- API Tools: Open source API tools enable developers to connect their applications with external services through RESTful APIs – allowing them to access public data stored in other websites or cloud-based repositories such as Amazon S3 or Microsoft Azure Storage.
- Command Line Interfaces (CLIs): CLIs are command-line based interfaces that make it easy for users to manipulate large datasets using lightweight scripts written in languages like cURL or jq.
Benefits Provided by Open Source JSON Software
Open source JSON software provides many benefits, including:
- Free Availability: One of the biggest advantages to open-source JSON software is that it is generally free. As a result, developers don’t have to pay for expensive commercial licenses in order to use the software, making it an attractive option for smaller businesses or those looking to save money on their projects.
- Open Platform Compatibility: Another benefit of open-source JSON software is its ability to be used with any platform or language. This allows developers to take advantage of existing libraries and frameworks while building out new applications quickly and cost effectively.
- Increased Efficiency: Using open-source JSON software also helps developers create more efficient applications since code can be shared across different teams and tasks can be completed faster. Additionally, because the codebase is publicly available, any bugs can be patched up quickly and fixes distributed quickly too.
- Community Support: Open source technology also receives a lot of support from its community as users come together to help each other debug issues and offer ideas on improving features or implementing new ones. This makes things significantly easier when dealing with complex problems or trying something new out.
- Limitless Potential: Lastly, open source JSON software gives developers access to countless possibilities as they create innovative solutions without being limited by vendor lock-ins or proprietary standards that may exist with traditional products.
Who Uses Open Source JSON Software?
- Developers: People who develop software applications that use open source JSON libraries to create, parse and edit JSON data.Database Administrators: People who are responsible for managing databases using open source JSON databases, such as NoSQL or MongoDB.
- Data Scientists: Professionals who work on deriving insights from large datasets in a variety of formats, including those stored in open source JSON databases.
- Web Programmers: Professionals who build dynamic websites using server-side scripting languages like JavaScript, which is typically used with open source JSON libraries to efficiently transfer data.
- Mobile App Developers: People who create mobile applications that use open source JSON software to enable efficient communication between the app and its back-end services running in the cloud.
- System Administrators: Individuals responsible for maintaining systems built upon open source configurations that utilize data sources expressed in a common format like JSON.
- Game Designers: Professionals constructing video games often make use of features provided by their game engines’ supported formats, such as those based on open SourceJSON libraries, to store and represent game assets’ metadata like 3D models’ textures or sound files’ effects.
How Much Does Open Source JSON Software Cost?
Open source software is free to use and you don't have to pay any costs associated with it. JSON software is no exception; anyone can download, use, modify and share the source code of the software at no cost. Furthermore, there are a number of open-source libraries for working with JSON data which can be used without paying anything.
JSON itself is just data format, so there aren’t any strict rules around pricing as you won’t need to purchase or license any specific software to work with it. However, some developers may decide to charge for services related to working with JSON such as development consultation, analytics or other similar tasks. The cost for these services will vary depending on what kind of help you need and who you hire – but typically most companies that offer these services will provide customized quotes based on the project at hand.
What Does Open Source JSON Software Integrate With?
There are a variety of software types that can integrate with open source JSON software. For example, web-based applications such as application programming interfaces (APIs) support different levels of integration depending on the specific web service or web technology stack being used. Other types of software that can integrate with open source JSON include database management systems like MySQL and Oracle, scripting languages such as Python or JavaScript, search engine optimizers, content management tools like WordPress and Drupal, and eCommerce solutions such as Shopify or Magento. All of these different types of software can work together to help developers create powerful information architectures and more flexible business solutions using open source JSON.
Recent Trends Related to Open Source JSON Software
- Increased Popularity: JSON software has become increasingly popular in recent years due to its flexibility and ease of use. As a result, more open source JSON libraries and tools have emerged, making the software even more accessible to developers.
- Growing Community: Along with the increased popularity of JSON software comes a growing community of users and contributors. This community helps maintain and improve the software, making it even more useful for developers.
- Improved Documentation: The growing community has also helped improve documentation for JSON software, making it easier for developers to find what they need quickly. This improved documentation has also enabled developers to better understand how to use the software.
- Increase in Libraries: As more developers become familiar with JSON software, the number of open source libraries available for it has grown dramatically. This provides developers with a wide range of options when choosing which library to use for their projects.
- Increased Performance: Open source JSON libraries and tools have improved performance due to optimizations in code and architecture. This has helped make JSON software even faster and more efficient, making it ideal for use in modern web development.
Getting Started With Open Source JSON Software
- Getting started with open source JSON software is relatively straightforward. Before you start, it’s important to have access to a computer that meets the minimum requirements for running the software (most open source programs will list the system requirements). Once you’re sure your computer can handle the program, there are a few steps you’ll need to take to get going:
- Download and install the software. Most open source JSON software packages come integrated with an installer which will guide you through the installation process.
- Set up any dependencies for evaluation and conversion of JSON data files by following instructions in online tutorials or provided documentation if necessary. If a dependency is not available from your distributions repository, this could mean adding additional third-party repositories before installing them.
- Test out the different features of the program using sample data files that are included with some versions of the software, or create your ownJSON file by following specific formatting rules and then use it as test input data for practicing working with JSON.
- Familiarize yourself with commands associated with working with JSON files such as parsing, validating, converting etc., depending on what function you’d like to perform on these files using command line tools or graphical user interface applications specific to operating systems like Windows or Linux where applicable
- Finally, explore other features such as manipulating existing data sets imported from other sources into existing ones in addition to creating custom scripts to automate tasks associatedwith processing complex datasets stored in JSON formats.
