Open Source Mac JSON Software - Page 8
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JSON Software for Mac
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fast-serialization
FST: fast java serialization drop in-replacement
Up to 10 times faster 100% JDK Serialization compatible drop-in replacement (Ok, might be 99% ..). As an example: Lambda Serialization which came with 1.8 worked instantly. Android compatible since version 2.17 (use FSTConfiguration.createAndroidDefaultConfiguration() both on the server and client side. The configuration object has to be passed into FSTObjectIn/Output constructors) FSTStructs is very similar to IBM's packed objects. The difference is you can run it with Oracle JDK today. Optionally en/decode any Serializable object graph to JSON (incl. shared references) (since 2.29) for interop -
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gron
Make JSON greppable
Make JSON greppable. gron transforms JSON into discrete assignments to make it easier to grep for what you want and see the absolute 'path' to it. It eases the exploration of APIs that return large blobs of JSON. -
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hq for HTML
jq, but for HTML
jq, but for HTML. hq reads HTML and converts it into a JSON object based on a series of CSS selectors. The selectors are expressed in a similar way to JSON, but where the values are CSS selectors. -
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jello
CLI tool to filter JSON and JSON Lines data with Python syntax
Filter JSON and JSON Lines data with Python syntax. jello is similar to jq in that it processes JSON and JSON Lines data except jello uses standard python dict and list syntax. JSON or JSON Lines can be piped into jello via STDIN or can be loaded from a JSON file or JSON Lines files (JSON Lines are automatically slurped into a list of dictionaries). Once loaded, the data is available as a python list or dictionary object named '_'. Processed data can be output as JSON, JSON Lines, bash array lines, or a grep-able schema. -
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jl
Functional sed for JSON
jl ("JSON lambda") is a tiny functional language for querying and manipulating JSON. -
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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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lowdb
Small local JSON database powered by Lodash
Small JSON database for Node, Electron and the browser. Powered by Lodash. You can use any of the powerful lodash functions, like _.get and _.find with shorthand syntax. Lowdb is perfect for CLIs, small servers, Electron apps and npm packages in general. It supports Node, the browser and uses lodash API, so it's very simple to learn. Actually, if you know Lodash, you already know how to use lowdb. lowdb doesn't support Cluster and may have issues with very large JSON files (~200MB). A UMD build is also available on unpkg for testing and quick prototyping. Database lodash instance. Use it to add your own utility functions or third-party mixins like underscore-contrib or lodash-id. With lowdb, you get access to the entire lodash API, so there are many ways to query and manipulate data. -
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pytablewriter
pytablewriter is a Python library to write a table in various formats
pytablewriter is a Python library to write a table in various formats: AsciiDoc / CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV / YAML. -
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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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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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yq JSON
Command-line YAML, XML, TOML processor
Before using yq, you also have to install its dependency, jq. See the jq installation instructions for details and directions specific to your platform. On macOS, yq is also available on Homebrew use brew install python-yq. -
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XM32 To Wing Converter
An X32/M32 scene to Wing snapshot converter
This apps converts Behringer X32/M32 scene files to the new Wing snapshot files. Scenes includes multiple lines of OSC commands and saves most of the settings of the console. The new Wing snapshots uses a completely different protocol (called JSON) that saves all of the console settings. -
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Airframe
Essential Building Blocks for Scala
Airframe is an essential building block for developing applications in Scala, including logging, object serialization using JSON or MessagePack, dependency injection, HTTP server/client with RPC support, functional testing with AirSpec, etc. Airframe RPC supports seamless integration of servers and clients using Scala as RPC interfaces. AirSpec is a simple unit testing framework for Scala and Scala.js. You can use public methods in your classes as test cases. There is no need to remember complex DSLs for writing tests in Scala. Retrying HTTP requests for API calls is an essential technique for connecting microservices. airframe-control will provide essential tools for making your requests reliable with exponential backoff retry, jitter, circuit-breaker, rate control, etc. airframe-fluentd supports logging your metrics to fluentd in a type-safe manner. You just need to send your case classes as metrics for fluentd. -
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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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Alba
Alba is a JSON serializer for Ruby
Alba is a JSON serializer for Ruby, JRuby, and TruffleRuby. Alba is easy to use because there are only a few methods to remember. It's also easy to understand due to its clean and small codebase. Finally, it's easy to extend since it provides some methods for override to change the default behavior of Alba. -
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Alcinoe
Alcinoe Component Library For Delphi
Alcinoe is a library of visual and non-visual components for Delphi. These components can be used in commercial, shareware, freeware, and open-source projects at no cost. Alcinoe is compatible with Delphi Alexandria 11.3 (Patch #1). If you find this project useful, please consider giving it a 'star' on GitHub. It doesn't cost anything, but it helps to promote the code. To set up Alcinoe, first execute CompileAll.bat. This batch file handles a series of tasks: it retrieves and patches the original Delphi source code, downloads the necessary iOS/Android libraries, constructs the Alcinoe JAR files, builds the BPL (Borland Package Library), compiles tools from the {alcinoe}\Tools directory, and finally compiles all demos in the {alcinoe}\Demos directory. Please be aware that some demos utilize components from devexpress. -
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Bebop
No ceremony, just code. Blazing fast, typesafe binary serialization
Bebop enables schema-based, typesafe, binary serialization and code generation. It is designed to be a good fit for client–server or distributed web apps that require a faster, more concise, and more typesafe alternative to JSON or MessagePack, while avoiding the complexity of Protocol Buffers, FlatBuffers, and similar solutions. -
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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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Chronicle Wire
Low Garbage Java Serialisation Library that supports multiple formats
Chronicle Wire is a Wire Format abstraction library. Chronicle Wire uses Chronicle Bytes for bytes manipulation, and Chronicle Core for low-level JVM access. Configuration includes aliased type information. This supports easy extension by adding new classes/versions, and cross-platform using type aliasing. By supporting types, a configuration file can bootstrap itself. You control how the configuration file is decoded. See example Queue Enterprise config. To send the configuration of a server to a client, or from a client to a server. Chronicle Wire supports a separation of describing what data you want to store and retrieve, and how it should be rendered/parsed. Chronicle Wire handles a variety of formatting options, for a wide range of formats. -
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Codable Alamofire
Extension for Alamofire that converts JSON data into Decodable objects
Swift 4 introduces a new Codable protocol that lets you serialize and deserialize custom data types without writing any special code and without having to worry about losing your value types. -
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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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DJSON
Fast Go decoder for dynamic JSON
DJSON is a JSON decoder for Go that is 2~ to 3~ times faster than the standard encoding/json and the existing solutions when dealing with arbitrary JSON payload. It is a good approach for people who are using json.Unmarshal together with interface, don't know what the schema is, and still want good performance with minimal changes. DJSON is faster and allocates less memory than the other alternatives. -
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DroidParts
Carefully crafted Android framework
DroidParts is a carefully crafted Android framework. RESTClient for GETting, PUTting, POSTing, DELETing & InputStream-getting, also speaks JSON. ImageFetcher to asynchronously attach images to ImageViews, with caching, cross-fade & transformation support.
