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  2. 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.

  3. Comparison of data-serialization formats - Wikipedia

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

    (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/ref, XPointer, XPath: WSDL, XML schema: DOM, SAX, XQuery ...

  4. 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 ...

  5. Language Server Protocol - Wikipedia

    en.wikipedia.org/wiki/Language_Server_Protocol

    The Language Server Protocol (LSP) is an open, JSON-RPC-based protocol for use between source code editors or integrated development environments (IDEs) and servers that provide "language intelligence tools": [1] programming language-specific features like code completion, syntax highlighting and marking of warnings and errors, as well as refactoring routines.

  6. JSON - Wikipedia

    en.wikipedia.org/wiki/JSON

    XML separates "data" from "metadata" (via the use of elements and attributes), while JSON does not have such a concept. Another key difference is the addressing of values. JSON has objects with a simple "key" to "value" mapping, whereas in XML addressing happens on "nodes", which all receive a unique ID via the XML processor.

  7. Comparison of code generation tools - Wikipedia

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

    Umple code embedding one or more of Java, Python, C++, PHP or Ruby Pure Umple code describing associations, patterns, state machines, etc. Java, Python, C++, PHP, Ruby, ECcore, Umlet, Yuml, Textuml, JSON, Papyrus XMI, USE, NuXMV, Alloy Velocity apache: Java Passive [2] Tier Templates Java driver code Any text Yii2 Gii: PHP Active Tier Database ...

  8. Jinja (template engine) - Wikipedia

    en.wikipedia.org/wiki/Jinja_(template_engine)

    compiles down to the optimal Python code just-in-time; optional ahead-of-time template compilation; easy to debug (for example, line numbers of exceptions directly point to the correct line in the template) configurable syntax; Jinja, like Smarty, also ships with an easy-to-use filter system similar to the Unix pipeline.

  9. JSONPath - Wikipedia

    en.wikipedia.org/wiki/JSONPath

    JSONiq [11] is a query and transformation language for JSON. XPath 3.1 [12] is an expression language that allows the processing of values conforming to the XDM [13] data model. The version 3.1 of XPath supports JSON as well as XML. jq is like sed for JSON data – it can be used to slice and filter and map and transform structured data.