Showing 5 open source projects for "mingw-64"

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  • 1
    orjson

    orjson

    Fast, correct Python JSON library supporting dataclasses, datetimes

    orjson is a fast, correct JSON library for Python. It benchmarks as the fastest Python library for JSON and is more correct than the standard json library or other third-party libraries. It serializes dataclass, datetime, numpy, and UUID instances natively. orjson supports CPython 3.8, 3.9, 3.10, 3.11, and 3.12. It distributes amd64/x86_64, aarch64/armv8, arm7, POWER/ppc64le, and s390x wheels for Linux, amd64 and aarch64 wheels for macOS, and amd64 and i686/x86 wheels for Windows. orjson...
    Downloads: 0 This Week
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  • 2

    libdropbox

    Small ANSI C lib for dropbox/windows azure communication

    Small ANSI C lib for dropbox and windows azure communication. Built for small platforms. Using PolarSSL for https communication. Features a small self contained https module and a modified version of the JSMN json parser. Originally based on the dropbox_uploader script. Able to do most dropbox actions. Eg. Upload file, download file, list, file info, account info, share link. Also contains a small CLI programs that interfaces with the lib. Also capable of windows azure service bus...
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  • 3

    ZET-JSON

    ZET-JSON is C++ library for json format.

    ZET-JSON is C++ library for json format. ZET-JSON uses STL library. You can use ZET- JSON (not as the library) with your code. ZET-JSON contains following json extension: the same object names in a container, a comma after the last object in a container, comments, string concatenation.
    Downloads: 0 This Week
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  • 4
    libqt4json

    libqt4json

    Serializator / Deserializator JSON for Qt4 QVariant

    Serializator / Deserializator JSON for Qt4 QVariant based on the json-c parser from https://github.com/json-c/json-c
    Downloads: 0 This Week
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  • 5
    Tpl makes it easy to serialize your C data using just a handful of API functions. The data is stored in its native binary form for maximum efficiency. C, Perl and XML supported. Data is portable across CPU types and OS's from Unix to Mac to Windows.
    Downloads: 0 This Week
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