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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 ...
JSON is an open format, standardized as STD 90 (RFC 8259), ECMA-404, and ISO/IEC 21778:2017. YAML is a strict superset of JSON and includes additional features such as a data type tags, support for cyclic data structures, indentation-sensitive syntax, and multiple forms of scalar data quoting. YAML is an open format.
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.).
YAML version 1.2 is a superset of JSON; prior versions were not strictly compatible. For example, escaping a slash / with a backslash \ is valid in JSON, but was not valid in YAML. [46] YAML supports comments, while JSON does not. [46] [44] [21]
The language, being protocol independent, can then be converted into any encoding format, e.g. XML or JSON, that the network configuration protocol supports. YANG is a modular language representing data structures in an XML tree format. The data modeling language comes with a number of built-in data types.
MessagePack is more compact than JSON, but imposes limitations on array and integer sizes.On the other hand, it allows binary data and non-UTF-8 encoded strings. In JSON, map keys have to be strings, but in MessagePack there is no such limitation and any type can be a map key, including types like maps and arrays, and, like YAML, numbers.
Dask Bag is used to parallelize computation of semi-structured or unstructured data, such as JSON records, text data, log files or user-defined Python objects using operations such as filter, fold, map and groupby. Dask Bags can be created from an existing Python iterable or can load data directly from text files and binary files in the Avro ...
DVC can generate HTML files that include interactive plots from data series in JSON, YAML, CSV, or TSV format; DVC can keep track of image files produced as plot outputs [37] from the training/evaluation scripts; DVCLive [38] integrations can produce plots automatically during the training