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  2. Comparison of data-serialization formats - Wikipedia

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

    Hapi for FHIR [4] JSON, XML, Turtle: No Ion: Amazon: JSON: No The Amazon Ion Specification: Yes Yes No Ion schema: C, C#, Go, Java, JavaScript, Python, Rust — Java serialization Oracle Corporation — Yes Java Object Serialization: Yes No Yes No Yes — JSON: Douglas Crockford: JavaScript syntax: Yes STD 90/RFC 8259 (ancillary: RFC 6901, RFC ...

  3. Ion (serialization format) - Wikipedia

    en.wikipedia.org/wiki/Ion_(Serialization_format)

    As a superset of JSON, Ion includes the following data types null: An empty value; bool: Boolean values; string: Unicode text literals; list: Ordered heterogeneous collection of Ion values; struct: Unordered collection of key/value pairs; The nebulous JSON 'number' type is strictly defined in Ion to be one of int: Signed integers of arbitrary size

  4. Name–value pair - Wikipedia

    en.wikipedia.org/wiki/Name–value_pair

    In some applications, a name–value pair has a value that contains a nested collection of attribute–value pairs. Some data serialization formats such as JSON support arbitrarily deep nesting. [2] Other data representations are restricted to one level of nesting, such as INI file's section/name/value.

  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. JSONiq - Wikipedia

    en.wikipedia.org/wiki/Jsoniq

    JSONiq primarily provides means to extract and transform data from JSON documents or any data source that can be viewed as JSON (e.g. relational databases or web services). The major expression for performing such operations is the SQL -like “ FLWOR expression” that comes from XQuery.

  8. CBOR - Wikipedia

    en.wikipedia.org/wiki/CBOR

    A short count of 31 indicates an indefinite-length string. This is followed by zero or more definite-length strings of the same type, terminated by a "break" marker byte. The value of the item is the concatenation of the values of the enclosed items. Items of a different type, or nested indefinite-length strings, are not permitted.

  9. Comparison of parser generators - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_parser...

    Grammars of this type can match anything that can be matched by a regular grammar, and furthermore, can handle the concept of recursive "nesting" ("every A is eventually followed by a matching B"), such as the question of whether a given string contains correctly nested parentheses. The rules of Context-free grammars are purely local, however ...