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  2. Comparison of data-serialization formats - Wikipedia

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

    For example, PKIX uses such notation in RFC 5912. With such notation (constraints on parameterized types using information object sets), generic ASN.1 tools/libraries can automatically encode/decode/resolve references within a document. ^ The primary format is binary, a json encoder is available. [10]

  3. JSON streaming - Wikipedia

    en.wikipedia.org/wiki/JSON_streaming

    Concatenated JSON isn't a new format, it's simply a name for streaming multiple JSON objects without any delimiters. The advantage of this format is that it can handle JSON objects that have been formatted with embedded newline characters, e.g., pretty-printed for human readability. For example, these two inputs are both valid and produce the ...

  4. JSON - Wikipedia

    en.wikipedia.org/wiki/JSON

    Suppose you are using JSON to keep configuration files, which you would like to annotate. Go ahead and insert all the comments you like. Then pipe it through JSMin [33] before handing it to your JSON parser." [21] MongoDB uses JSON-like data for its document-oriented database.

  5. Smile (data interchange format) - Wikipedia

    en.wikipedia.org/.../Smile_(data_interchange_format)

    Smile is a computer data interchange format based on JSON.It can also be considered a binary serialization of the generic JSON data model, which means tools that operate on JSON may be used with Smile as well, as long as a proper encoder/decoder exists for the tool.

  6. 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).

  7. Semi-structured data - Wikipedia

    en.wikipedia.org/wiki/Semi-structured_data

    JSON or JavaScript Object Notation, is an open standard format that uses human-readable text to transmit data objects. JSON has been popularized by web services developed utilizing REST principles. Databases such as MongoDB and Couchbase store data natively in JSON format, leveraging the pros of semi-structured data architecture.

  8. JSONPath - Wikipedia

    en.wikipedia.org/wiki/JSONPath

    JSONiq [11] is a query and transformation language for JSON. XPath 3.1 [12] is an expression language that allows the processing of values conforming to the XDM [13] data model. The version 3.1 of XPath supports JSON as well as XML. jq is like sed for JSON data - you can use it to slice and filter and map and transform structured data.

  9. JSON Feed - Wikipedia

    en.wikipedia.org/wiki/JSON_Feed

    JSON Feed is a Web feed file format for Web syndication in JSON instead of XML as used by RSS and Atom. [1] A range of software libraries and web frameworks support content syndication via JSON Feed. [2] Supporting clients include NetNewsWire, NewsBlur, [3] ReadKit and Reeder.