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  2. Comparison of data-serialization formats - Wikipedia

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

    (Signature strings) Yes — Efficient XML Interchange (EXI) W3C: XML, Efficient XML Yes Efficient XML Interchange (EXI) Format 1.0: Yes XML: XPointer, XPath: XML Schema: DOM, SAX, StAX, XQuery, XPath — Extensible Data Notation (edn) Rich Hickey / Clojure community Clojure: Yes Official edn spec: No Yes No No Clojure, Ruby, Go, C++, Javascript ...

  3. JSON streaming - Wikipedia

    en.wikipedia.org/wiki/JSON_streaming

    Line-delimited JSON works very well with traditional line-oriented tools. Concatenated JSON works with pretty-printed JSON but requires more effort and complexity to parse. It doesn't work well with traditional line-oriented tools. Concatenated JSON streaming is a superset of line-delimited JSON streaming.

  4. JSON - Wikipedia

    en.wikipedia.org/wiki/JSON

    Although Crockford originally asserted that JSON is a strict subset of JavaScript and ECMAScript, [15] his specification actually allows valid JSON documents that are not valid JavaScript; JSON allows the Unicode line terminators U+2028 LINE SEPARATOR and U+2029 PARAGRAPH SEPARATOR to appear unescaped in quoted strings, while ECMAScript 2018 ...

  5. 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 ...

  6. 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.

  7. 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 ...

  8. JSON-RPC - Wikipedia

    en.wikipedia.org/wiki/JSON-RPC

    All transfer types are single objects, serialized using JSON. [1] A request is a call to a specific method provided by a remote system. It can contain three members: method - A string with the name of the method to be invoked. Method names that begin with "rpc." are reserved for rpc-internal methods.

  9. Apache Avro - Wikipedia

    en.wikipedia.org/wiki/Apache_Avro

    It uses JSON for defining data types and protocols, and serializes data in a compact binary format. Its primary use is in Apache Hadoop , where it can provide both a serialization format for persistent data , and a wire format for communication between Hadoop nodes , and from client programs to the Hadoop services .