Search Results for "json-cpp"
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Showing 13 open source projects for "json-cpp"
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1
JSON-Machine
Efficient, easy-to-use, and fast PHP JSON stream parser
json-machine is an efficient and easy-to-use PHP JSON stream parser. It enables processing of large JSON files or streams without loading the entire content into memory, making it suitable for memory-constrained environments. -
2
GJSON
Get JSON values quickly, JSON parser for Go
GJSON is a Go library designed for extremely fast, allocation-free retrieval of values from JSON documents. It enables you to query nested JSON structures using one-liner dot-notation or array-based paths and includes wildcard and comparison operators. The library is optimized for speed and zero allocations, benchmarking significantly faster than Go’s standard encoding/json unmarshal approaches. It supports parsing JSON lines (newline-delimited JSON) as an array for large stream processing. ... -
3
CSON
CoffeeScript-Object-Notation. Same as JSON but for CoffeeScript
cson (CoffeeScript‑Object‑Notation) is a human-friendly data serialization format similar to JSON but using CoffeeScript syntax, with a library (and CLI) to parse and serialize between CSON, JSON, and JavaScript objects. Executing the method with a callback still executes the method synchronously. Requires or parses a file path of the desired format into an Object If the format option is not specified, we use the filename to detect what it should be; otherwise, we default to parsing CSON. -
4
body-parser
Node.js body parsing middleware
Node.js body parsing middleware. Parse incoming request bodies in a middleware before your handlers, available under the req.body property. As req.body's shape is based on user-controlled input, all properties and values in this object are untrusted and should be validated before trusting. For example, req.body.foo.toString() may fail in multiple ways, for example the foo property may not be there or may not be a string, and toString may not be a function and instead a string or other user... -
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5
Mocker++11
C++ Mock object auto generator
...What you need is to run the generator and full featured mock class is there for your unit test. ---- How to use: You need Ruby. Obtain it if you don't have it yet. Get Tools At your convenient directory: git clone https://git.code.sf.net/p/cpp-tools-in-ruby/code tools Get Mocker++11 git clone https://git.code.sf.net/p/mockerplusplus11/code mocker++ Run it Change directory to mocker++ ./Mocker++ --help (On Mac/Unix, you may need to run dos2unix) Code samples (unit test codes) are found in 'unittest/MockerppTest -
6
XBNF librairies
Neurotranslator grammar librairies
This project is a library which provide examples of XBNF grammars. XBNF neurotranslator compiler and ressources available here: https://neurotranslator.sourceforge.io -
7
JSON Parser
JSON Parser written in C that outputs JSON into D-List list objects
JSON parser is a highly efficient JSON data decoder written in C, that parses JSON data into a form that is very easy to use from within C code. You only need to include the json-parser.h file in your source code. If your project does not already incorporate D-List, you will also need to include dlist.h The JSON parser package also includes a JSON validator that does not parse or create resources, but allows the caller to validate JSON data from unknown sources, prior to any parsing attempts. ... -
8
fastjson
A fast JSON parser/generator for Java
Fastjson is a Java library that can be used to quickly convert Java Objects into their JSON representation or convert JSON strings to their equivalent Java object. Based on benchmarks it provides the best performance in both server side and Android client, and can work with arbitrary Java objects, even those pre-existing objects of which you do not have the source code. Fastjson provides a simple conversion method to turn Java objects to JSON and vice versa, with extensive support of Java Generics and arbitrarily complex objects. -
9
UniCC LALR(1) Parser Generator
Parser generator, targetting C, C++, Python, JavaScript, JSON and XML
...Because UniCC is intended to be target-language independent, it can be configured via template definition files to emit parsers in almost any programming language. UniCC comes with out of the box support for the programming languages C, C++, Python (both 2.x and 3.x) and JavaScript. Parsers can also be generated into JSON and XML. -
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10
RapidJSON
A fast JSON parser/generator for C++ with both SAX/DOM style API
...It does not depend on external libraries such as BOOST. It even does not depend on STL. RapidJSON is memory-friendly. Each JSON value occupies exactly 16 bytes for most 32/64-bit machines (excluding text string). By default it uses a fast memory allocator, and the parser allocates memory compactly during parsing. RapidJSON is Unicode-friendly. It supports UTF-8, UTF-16, UTF-32 (LE & BE), and their detection, validation and transcoding internally. For example, you can read a UTF-8 file and let RapidJSON transcode the JSON strings into UTF-16 in the DOM. ... -
11
json_library
Another C++ based JSON Library (/w Parser/Generator/Navigator)
Native C++ implementation of a JSON library. Contains a Parser, a Generator and and easy-to-use Navigator in one single class. To build you will need at least a C++11 capable compiler such as MSVC 10 (express edition). There is no other 3rd party library required to compile or run it. -
12
C#Prolog
C#Prolog -- A Prolog interpreter written in managed C#
C#Prolog -- A Prolog interpreter written in C#. Can easily be integrated in C# programs. Characteristics: reliable and fairly fast interpreter, command line interface, Windows-interface, builtin DCG, XML- and JSON-predicates, SQL-predicates, extendible. -
13
cojson
a C++11 JSON parser/generator for constrained platforms
cojson is a C++ pull-type JSON parser/serializer for constrained platforms, such as bare metal applications on low-end MCUs. It does not use memory allocation and has almost no external dependencies. It is not intrusive – it neither forces nor implies any particular design of the application. Instead it adapts to fit any existing application code. It is tolerant to data type mismatching.
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