Open Source Mac JSON Software - Page 3
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Kotlin multiplatform
Kotlin multiplatform / multi-format serialization
Kotlin serialization consists of a compiler plugin, that generates visitor code for serializable classes, a runtime library with core serialization API, and support libraries with various serialization formats. Using Kotlin Serialization requires Kotlin compiler 1.4.0 or higher. Make sure you have the corresponding Kotlin plugin installed in the IDE, no additional plugins for IDE are required. -
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MoshiX
Extensions for Moshi including IR plugins, moshi-sealed, and more
Extensions for Moshi. Moshi is a modern JSON library for Android, Java and Kotlin. It makes it easy to parse JSON into Java and Kotlin classes. -
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ObjectMapper
Simple JSON Object mapping written in Swift
ObjectMapper is a framework written in Swift that makes it easy for you to convert your model objects (classes and structs) to and from JSON. Once your class implements Mappable, ObjectMapper allows you to easily convert to and from JSON. Use functions to validate JSON prior to object serialization provide an existing cached object to be used for mapping, return an object of another type (which also conforms to BaseMappable) to be used for mapping. For instance, you may inspect the JSON to infer the type of object that should be used for mapping. ObjectMapper supports dot notation within keys for easy mapping of nested objects. ObjectMapper also supports custom transforms that convert values during the mapping process. To use a transform, simply create a tuple with map["field_name"] and the transform of your choice on the right side of the <- operator. -
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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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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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Spring Data Redis
Provides support to increase developer productivity in Java
Provides support to increase developer productivity in Java when using Redis, a key-value store. Uses familiar Spring concepts such as a template class for core API usage and lightweight repository-style data access. The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud-based data services. Connection package as low-level abstraction across multiple Redis drivers (Lettuce and Jedis). Exception translation to Spring’s portable Data Access exception hierarchy for Redis driver exceptions. RedisTemplate that provides a high level abstraction for performing various Redis operations, exception translation and serialization support. Pubsub support (such as a MessageListenerContainer for message-driven POJOs). Redis Sentinel and Redis Cluster support. Reactive API using the Lettuce driver. JDK, String, JSON and Spring Object/X. -
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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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XLog
Android logger, pretty, powerful and flexible, log to everywhere
Lightweight and pretty, powerful and flexible logger for Android and java, can print the log to Logcat, Console, and Files, or anywhere if you like. -
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easyjson
Fast JSON serializer for golang
Package easyjson provides a fast and easy way to marshal/unmarshal Go structs to/from JSON without the use of reflection. In performance tests, easyjson outperforms the standard encoding/json package by a factor of 4-5x, and other JSON encoding packages by a factor of 2-3x. easyjson aims to keep generated Go code simple enough so that it can be easily optimized or fixed. Another goal is to provide users with the ability to customize the generated code by providing options not available with the standard encoding/json package, such as generating "snake_case" names or enabling omitempty behavior by default. -
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generatedata
A powerful, feature-rich, random test data generator
This is the repo for the downloadable version of generatedata.com. The script is essentially an engine to generate any sort of random data in any format. It currently comes with 30 or so Data Types (types of data it generates), 12 Export Types (formats for the data, like CSV, SQL, JSON), plus around 32 data sets for specific countries (city names, regions, etc). But more importantly, it can be extended in any way you want. Check out the developer documentation for more information on that. The current major version of the script is 4.x, which was a big change over earlier releases. Earlier versions were written in PHP and MYSQL and 3.x offered a REST API to let you generate the data programmatically rather than via an API. While this is still planned for 4.x it's not currently offered, and the plan it to tackle that after making the script available as an npm package - which we feel will be a more convenient way to programmatically generate data over the more agnostic REST approach. -
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5e-database
Database for the D&D 5th Edition API
Just a simple API for things within the Official 5th Edition SRD and is easily accessible through a modern RESTful API. -
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Canmatrix
Converting Can (Controller Area Network) Database Formats
Canmatrix is a Python package to read and write several CAN (Controller Area Network) database formats. Canmatrix implements a "Python Can Matrix Object" which describes the can-communication and the needed objects (Board units, Frames, Signals, Values, ...) Canmatrix also includes two Tools (can convert and can compare) for converting and comparing CAN databases. -
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Cities of the World
Cities of the world in Json, based on GeoNames Gazetteer
Cities of the world in Json, based on GeoNames Gazetteer. -
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DAW JSON Link v3
Fast, convenient JSON serialization and parsing in C++
Fast, convenient JSON serialization and parsing in C++. The DAW JSON Link library is a high-performance, no allocation, C++ JSON Library. Direct parsing of JSON to your own data structures via simple declarative mappings. Earlier error reporting of unexpected data and errors. Low memory requirement, parser requires a small amount of stack but does not allocate itself. Optimizations based on data types. Does not require owning the mapped types and is not intrusive. -
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Easy Localization
Easy and Fast internationalizing your Flutter Apps
Easy and Fast internationalization for your Flutter Apps. You can use JSON, CSV, HTTP, XML, YAML files, etc. Code generation for localization files and keys. -
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FeedKit
An RSS, Atom and JSON Feed parser written in Swift
FeedKit is an RSS, Atom and JSON Feed parser written in Swift. Build a URL pointing to an RSS, Atom or JSON Feed. A common scenario in UI environments would be parsing a feed asynchronously from a user-initiated action, such as the touch of a button. Remember, you are responsible for manually bringing the resulting closure to whichever queue is appropriate. Usually to the Main thread, for UI apps, by calling DispatchQueue.main.async. FeedKit adopts Swift 5 Result type, as Result<Feed, ParserError>, and as such, if parsing succeeds you should now have a Strongly Typed Model of an RSS, Atom or JSON Feed, within the Feed enum. The RSS and Atom feed Models are rather extensive throughout the supported namespaces. -
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JSON Parser
Zero-dependencies lazy parser to read JSON of any dimension
Zero-dependencies pull parser to read large JSON from any source in a memory-efficient way. -
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JSON implementation for Ruby
JSON implementation for Ruby
This is an implementation of the JSON specification according to RFC 4627. You can think of it as a low-fat alternative to XML if you want to store data on disk or transmit it over a network rather than use a verbose markup language. Both variants of the JSON generator generate UTF-8 character sequences by default. If an:ascii_only option with a true value is given, they escape all non-ASCII and control characters with \uXXXX escape sequences, and support UTF-16 surrogate pairs in order to be able to generate the whole range of Unicode code points. All strings, that are to be encoded as JSON strings, should be UTF-8 byte sequences on the Ruby side. To encode raw binary strings, that aren't UTF-8 encoded, please use the to_json_raw_object method of String (which produces an object, that contains a byte array) and decode the result on the receiving endpoint. -
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JSON-Diff
Structural diff for JSON files
json-diff is a command-line tool (and library) that computes differences between two JSON documents in a user-friendly manner. It highlights additions, deletions, and modifications in nested JSON structures, showing context so users can see where changes occurred. The output is presented in a readable diff style (text, colorized, or in various output formats) so developers can quickly understand changes between two versions of a JSON file. The tool also supports ignoring order in arrays, skipping certain paths, and configuration options so it can adapt to different JSON schemas or tolerance levels. Because JSON is ubiquitous in APIs, configs, and data interchange, json-diff is particularly handy for developers, devops, and QA to compare API responses or configuration states. It is designed to be lightweight and embeddable so it can be used both interactively and in scripts or CI pipelines. -
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JSON5
JSON5 — JSON for Humans
JSON5 is an extension to the popular JSON file format that aims to be easier to write and maintain by hand (e.g. for config files). It is not intended to be used for machine-to-machine communication. JSON5 was started in 2012, and as of 2022, now gets >65M downloads/week, ranks in the top 0.1% of the most depended-upon packages on npm, and has been adopted by major projects like Chromium, Next.js, Babel, Retool, WebStorm, and more. It's also natively supported on Apple platforms like MacOS and iOS. Formally, the JSON5 Data Interchange Format is a superset of JSON (so valid JSON files will always be valid JSON5 files) that expands its syntax to include some productions from ECMAScript 5.1 (ES5). It's also a subset of ES5, so valid JSON5 files will always be valid ES5. This JavaScript library is a reference implementation for JSON5 parsing and serialization and is directly used in many of the popular projects mentioned above. -
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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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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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JavaScript localStorage
A simple, lightweight JavaScript API for handling browser localStorage
A simple, lightweight JavaScript API for handling browser local storage, it is easy to pick up and use has a reasonable footprint of 2.08kb(gzipped: 0.97kb), and has no dependencies. It should not interfere with any JavaScript libraries or frameworks. -
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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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PHP JSON-API
JSON-API responses in PHP
JSON-API responses in PHP. Works with version 1.0 of the spec. The JSON-API spec describes resource objects as objects containing information about a single resource, and collection objects as objects containing information about many resources.
