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  2. 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. A tool may require the IDL file, but no more. Excludes custom, non-standardized referencing techniques.

  3. CBOR - Wikipedia

    en.wikipedia.org/wiki/CBOR

    A tag of 2 indicates that the following byte string encodes an unsigned bignum. A tag of 32 indicates that the following text string is a URI as defined in RFC 3986. RFC 8746 defines tags 64–87 to encode homogeneous arrays of fixed-size integer or floating-point values as byte strings. The tag 55799 is allocated to mean "CBOR data follows".

  4. Gson - Wikipedia

    en.wikipedia.org/wiki/Gson

    When deserializing, Gson navigates the type tree of the object being deserialized, which means that it ignores extra fields present in the JSON input. The user can: write a custom serializer and/or deserializer so that they can control the whole process, and even deserialize instances of classes for which the source code is inaccessible.

  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. JSON - Wikipedia

    en.wikipedia.org/wiki/JSON

    The official MIME type for JSON text is application/json, [26] and most modern implementations have adopted this. Legacy MIME types include text/json, text/x-json, and text/javascript. [27] The standard filename extension is .json. [28]

  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. 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. Avro uses a schema to structure ...

  9. Cap'n Proto - Wikipedia

    en.wikipedia.org/wiki/Cap'n_Proto

    Cap’n Proto is a data serialization format and Remote Procedure Call (RPC) framework for exchanging data between computer programs. The high-level design focuses on speed and security, making it suitable for network as well as inter-process communication.