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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.).
dotNetRDF SHACL - an online SHACL validator service written in the .NET Framework [8] [9] pySHACL - an open source SHACL validator library for command line use written in Python [10] SHaclEX - a Scala implementation of both SHACL and ShEx [11] TopBraid SHACL API - an open source implementation of SHACL by TopQuadrant, based on Apache Jena. It ...
PSVI—Post-Schema-Validation Infoset; PTS-DOS—PhysTechSoft – Disk Operating System; PV—Physical Volume; PVG—Physical Volume Group; PVR—Personal Video Recorder; PXE—Preboot Execution Environment; PXI—PCI eXtensions for Instrumentation; PRC—Procedure Remote Call
The SPDX 2.x standard defines an SBOM document, which contains SPDX metadata about software. The document itself can be expressed in multiple formats, including JSON, YAML, RDF/XML, tag–value, and spreadsheet. Each SPDX document describes one or more elements, which can be a software package, a specific file, or a snippet from a file.
pyang is an extensible YANG validator and converter written in Python; pyangbind is a pyang-based Python binding generator; Sysrepo is a YANG-based configuration and operational datastore for Unix/Linux applications.
In some domains, a few dozen different source and target schema (proprietary data formats) may exist. An "exchange" or "interchange format" is often developed for a single domain, and then necessary routines (mappings) are written to (indirectly) transform/translate each and every source schema to each and every target schema by using the interchange format as an intermediate step.
The 2013 version then added new XML validation tools. [15] The program also has support for XBRL , in order to manage and view XBRL data. [ 16 ] Version 2014 includes support for XQuery Update Facility, with recent updates adding support for JSON Schema and Apache Avro.
Cap'n Proto does, however, validate pointer bounds and type check individual values when they are first accessed. [ 5 ] Enforcing complex schema constraints would also incur significant overhead, [ note 3 ] negating the benefits of reusing in-memory data structures and preventing random access to data. [ 8 ]