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  2. Comparison of data-serialization formats - Wikipedia

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

    JSON: No Smile Format Specification: Yes No Yes Partial (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 ...

  3. Round-tripping (computer science) - Wikipedia

    en.wikipedia.org/wiki/Round-tripping_(computer...

    Serialization and Deserialization: Converting objects to a storable or transmittable format (like JSON or XML) and back into objects without losing data. [ 1 ] In the context of graph databases , round-tripping can validate conversions between different graph models, such as from the Resource Description Framework (RDF) to Property Graphs and ...

  4. 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.

  5. RDFLib - Wikipedia

    en.wikipedia.org/wiki/RDFLib

    RDFLib is a Python library for working with RDF, [2] a simple yet powerful language for representing information. This library contains parsers/serializers for almost all of the known RDF serializations, such as RDF/XML, Turtle, N-Triples, & JSON-LD, many of which are now supported in their updated form (e.g. Turtle 1.1).

  6. JData - Wikipedia

    en.wikipedia.org/wiki/JData

    It can convert a wide range of complex data structures, including dict, array, numpy ndarray, into JData representations and export the data as JSON or UBJSON files. The BJData Python module, pybj, [4] enabling reading/writing BJData/UBJSON files, is also available on PyPI, Debian/Ubuntu and GitHub.

  7. 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 ]

  8. XSLT - Wikipedia

    en.wikipedia.org/wiki/XSLT

    Support for JSON and plain-text transformation was added in later updates to the XSLT 1.0 specification. As of August 2022, the most recent stable version of the language is XSLT 3.0, which achieved Recommendation status in June 2017. XSLT 3.0 implementations support Java, .NET, C/C++, Python, PHP and NodeJS.

  9. Open Data Protocol - Wikipedia

    en.wikipedia.org/wiki/Open_Data_Protocol

    OData uses different formats for representing data and the data model. In OData protocol version 4.0, JSON format is the standard for representing data, with the Atom format still being in committee specification stage. For representing the data model, the Common Schema Definition Language (CSDL) is used, which defines an XML representation of ...