Showing 6 open source projects for "byte"

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  • 1
    JSON implementation for Ruby

    JSON implementation for Ruby

    JSON implementation for Ruby

    ...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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  • 2
    jsoniter-scala

    jsoniter-scala

    Scala macros for compile-time generation of safe and ultra-fast JSON

    Scala macros for compile-time generation of safe and ultra-fast JSON codecs. This library had started from macros that reused jsoniter (json-iterator) for Java reader and writer but then the library evolved to have its own core of mechanics for parsing and serialization. The idea to generate codecs by Scala macros and main details was borrowed from Kryo Macros and adapted for the needs of the JSON domain. Validate parsed values safely with the fail-fast approach and clear reporting, provide...
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  • 3
    Vince's CSV Parser

    Vince's CSV Parser

    A modern C++ library for reading, writing, and analyzing CSV

    There's plenty of other CSV parsers in the wild, but I had a hard time finding what I wanted. Inspired by Python's csv module, I wanted a library with simple, intuitive syntax. Furthermore, I wanted support for special use cases such as calculating statistics on very large files. With the deluge of large datasets available, a performant CSV parser is a necessity. By using overlapped threads, memory-mapped IO, and efficient data structures, this parser can quickly tackle large CSV files....
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  • 4
    SJSON

    SJSON

    Set JSON values very quickly in Go

    ...Just as GJSON allows fast retrieval, SJSON allows fast mutation: you provide a JSON document, a dot-notation path (including array indices or the special “-1” index for appending), and a new value, and SJSON produces the updated JSON. It supports many data types (numbers, strings, bools, arrays, maps), raw byte paths, and options for in-place replacement. Because it avoids full unmarshalling into structs, it is very efficient for many use-cases where you just need to tweak a JSON document quickly. Paths support appending to arrays, creating intermediate structures if missing, and deleting (via the Delete function). It’s ideal for manipulating JSON dynamically in Go without bulky models.
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  • 5
    DSL-JSON library

    DSL-JSON library

    High performance JVM JSON library

    Fastest JVM (Java/Android/Scala/Kotlin) JSON library with advanced compile-time data binding support. Java JSON library designed for performance. Originally built for invasive software composition with DSL Platform compiler. v1 core library was targeting Java6, while v2 targets Java8. So there is no need anymore for dsl-json-java8 project and instead, just dsl-json project should be referenced. From v2 only a single annotation processor is supported, which was previously in the java8...
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  • 6
    Stand-alone Java library implementing parser/formatter/comparator/validator for JSON/XML-like text formats oriented on JSON-like object model (list,map,scalar + reflection). Library is designed to maximize adaptivity via set of extendable modules.
    Downloads: 0 This Week
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