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  2. JData - Wikipedia

    en.wikipedia.org/wiki/JData

    The generated data files are compatible with JSON/UBJSON specifications and can be readily processed by most existing parsers. JData-defined annotation keywords also permit storage of strongly-typed binary data streams in JSON, data compression, linking and referencing.

  3. Smile (data interchange format) - Wikipedia

    en.wikipedia.org/wiki/Smile_(data_interchange...

    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.

  4. Comparison of data-serialization formats - Wikipedia

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

    ^ The primary format is binary, but text and JSON formats are available. [ 8 ] [ 9 ] ^ Means that generic tools/libraries know how to encode, decode, and dereference a reference to another piece of data in the same document.

  5. JSON streaming - Wikipedia

    en.wikipedia.org/wiki/JSON_streaming

    In addition, it is suggested that each JSON text sequence be followed by a line feed character to allow proper handling of top-level JSON objects that are not self delimiting (numbers, true, false, and null). This format is also known as JSON Text Sequences or MIME type application/json-seq, and is formally described in IETF RFC 7464.

  6. Comparison of code generation tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_code...

    T4 Template/Text File: Any text format such as XML, XAML, C# files or just plain text files. Umple: Umple, Java, Javascript, PHP Active Tier Umple code embedding one or more of Java, Python, C++, PHP or Ruby Pure Umple code describing associations, patterns, state machines, etc.

  7. JSON Patch - Wikipedia

    en.wikipedia.org/wiki/JSON_Patch

    A JSON Patch document is structured as a JSON array of objects where each object contains one of the six JSON Patch operations: add, remove, replace, move, copy, and test. This structure was influenced by the specification of XML patch.

  8. JSON - Wikipedia

    en.wikipedia.org/wiki/JSON

    MongoDB uses JSON-like data for its document-oriented database. Some relational databases, such as PostgreSQL and MySQL, have added support for native JSON data types. This allows developers to store JSON data directly in a relational database without having to convert it to another data format.

  9. Comparison of parser generators - Wikipedia

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

    However, parser generators for context-free grammars often support the ability for user-written code to introduce limited amounts of context-sensitivity. (For example, upon encountering a variable declaration, user-written code could save the name and type of the variable into an external data structure, so that these could be checked against ...