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  2. Comparison of data-serialization formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    This is a comparison of data serialization formats, various ways to convert complex objects to sequences of bits. It does not include markup languages used exclusively as document file formats . Overview

  3. Property list - Wikipedia

    en.wikipedia.org/wiki/Property_list

    The Python programming language has a builtin plistlib module to read and write plist files, in Apple's XML or in binary (since Python 3.4). [28] ProperTree is a cross-platform editor that makes use of this library. [29] A third-party library called ccl-bplist has the additional ability to handle NSKeyedArchiver UIDs. [19]

  4. FlatBuffers - Wikipedia

    en.wikipedia.org/wiki/FlatBuffers

    FlatBuffers can be used in software written in C++, C#, C, Go, Java, JavaScript, Kotlin, Lobster, Lua, PHP, Python, Rust, Swift, and TypeScript. The schema compiler runs on Android , Microsoft Windows , macOS , and Linux , [ 3 ] but games and other programs use FlatBuffers for serialization work on many other operating systems as well ...

  5. YAML - Wikipedia

    en.wikipedia.org/wiki/YAML

    YAML (/ ˈ j æ m əl /, rhymes with camel [4]) was first proposed by Clark Evans in 2001, [15] who designed it together with Ingy döt Net [16] and Oren Ben-Kiki. [16]Originally YAML was said to mean Yet Another Markup Language, [17] because it was released in an era that saw a proliferation of markup languages for presentation and connectivity (HTML, XML, SGML, etc.).

  6. Serialization - Wikipedia

    en.wikipedia.org/wiki/Serialization

    Flow diagram. In computing, serialization (or serialisation, also referred to as pickling in Python) is the process of translating a data structure or object state into a format that can be stored (e.g. files in secondary storage devices, data buffers in primary storage devices) or transmitted (e.g. data streams over computer networks) and reconstructed later (possibly in a different computer ...

  7. JData - Wikipedia

    en.wikipedia.org/wiki/JData

    It can convert a wide range of complex data structures, including dict, array, numpy ndarray, into JData representations and export the data as JSON or UBJSON files. The BJData Python module, pybj, [4] enabling reading/writing BJData/UBJSON files, is also available on PyPI, Debian/Ubuntu and GitHub.

  8. Bencode - Wikipedia

    en.wikipedia.org/wiki/Bencode

    An empty dictionary is encoded as de. A dictionary with keys "wiki" → "bencode" and "meaning" → 42 is encoded as d4:wiki7:bencode7:meaningi42ee. There are no restrictions on the types of values stored within lists and dictionaries; they may contain other lists and dictionaries, allowing for arbitrarily complex data structures.

  9. DICT - Wikipedia

    en.wikipedia.org/wiki/DICT

    and then enter the command "help" to see the available commands. The standard dictd package also provides a "dict" command for command-line use. More sophisticated DICT clients include: cURL; dictc (DICT Client) [11] client for Windows written in Delphi. dict.org's own client (part of the dictd [7] package) dictem, [12] for the Emacs text editor