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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

    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. 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".

  5. JSON - Wikipedia

    en.wikipedia.org/wiki/JSON

    XML values are strings of characters, with no built-in type safety. XML has the concept of schema, that permits strong typing, user-defined types, predefined tags, and formal structure, allowing for formal validation of an XML stream. JSON has several types built-in and has a similar schema concept in JSON Schema.

  6. Base64 - Wikipedia

    en.wikipedia.org/wiki/Base64

    Decoding without padding is not performed consistently among decoders. In addition, allowing padless decoding by definition allows multiple strings to decode into the same set of bytes, which can be a security risk. [7]

  7. 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.

  8. FlatBuffers - Wikipedia

    en.wikipedia.org/wiki/FlatBuffers

    The serialized format allows random access to specific data elements (e.g. individual string or integer properties) without parsing all data. Unlike Protocol Buffers, which uses variable length integers , FlatBuffers encodes integers in their native size, which favors performance but leads to longer encoded representations.

  9. List of HTTP header fields - Wikipedia

    en.wikipedia.org/wiki/List_of_HTTP_header_fields

    Allows easier parsing of the MakeModel/Firmware that is usually found in the User-Agent String of AT&T Devices: X-Att-Deviceid: GT-P7320/P7320XXLPG: X-Wap-Profile [34] Links to an XML file on the Internet with a full description and details about the device currently connecting. In the example to the right is an XML file for an AT&T Samsung ...