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  2. Comparison of data-serialization formats - Wikipedia

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

    (JSON Schema Proposal, other JSON schemas/IDLs) Partial (via JSON APIs implemented with Smile backend, on Jackson, Python) — SOAP: W3C: XML: Yes W3C Recommendations: SOAP/1.1 SOAP/1.2: Partial (Efficient XML Interchange, Binary XML, Fast Infoset, MTOM, XSD base64 data) Yes Built-in id/ref, XPointer, XPath: WSDL, XML schema: DOM, SAX, XQuery ...

  3. JSON - Wikipedia

    en.wikipedia.org/wiki/JSON

    JSON Schema specifies a JSON-based format to define the structure of JSON data for validation, documentation, and interaction control. It provides a contract for the JSON data required by a given application and how that data can be modified. [29] JSON Schema is based on the concepts from XML Schema (XSD) but is JSON-based. As in XSD, the same ...

  4. 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

  5. Jackson (API) - Wikipedia

    en.wikipedia.org/wiki/Jackson_(API)

    In computing, Jackson is a high-performance JSON processor for Java. Its developers extol the combination of fast, correct, lightweight, and ergonomic attributes of the library. Its developers extol the combination of fast, correct, lightweight, and ergonomic attributes of the library.

  6. Apache Avro - Wikipedia

    en.wikipedia.org/wiki/Apache_Avro

    It has two different types of schema languages: one for human editing (Avro IDL) and another which is more machine-readable based on JSON. [ 3 ] It is similar to Thrift and Protocol Buffers , but does not require running a code-generation program when a schema changes (unless desired for statically-typed languages).

  7. jq (programming language) - Wikipedia

    en.wikipedia.org/wiki/Jq_(programming_language)

    jq is a very high-level lexically scoped functional programming language in which every JSON value is a constant. jq supports backtracking and managing indefinitely long streams of JSON data. It is related to the Icon and Haskell programming languages. The language supports a namespace-based module system and has some support for closures.

  8. JSONiq - Wikipedia

    en.wikipedia.org/wiki/Jsoniq

    JSONiq does not include features for updating JSON or XML documents, it does not have full text search capabilities, and has no statements. All of these features are under active development for a subsequent version of the language. JSONiq is a programming language that can express arbitrary JSON to JSON or XML to XML transformations.

  9. 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 ...