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YAML: History & Standards

YAML (/ˈjæməl/ ⓘ YAM-əl) is a human-readable data serialization language. It is commonly used for configuration files and in applications where data is being stored or transmitted. YAML targets many of the same communications applications as Extensible Markup Language (XML) but has a minimal syntax that intentionally differs from Standard Generalized…

Language: English [EN]
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YAML topic overview

The analysis highlights History and Standards as prominent areas in the source structure around YAML.

Related topics
86
Source areas
7
Connected nodes
93
Extracted relationships
104
Concept neighborhoods
26
Bridge connections
93

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 32 topics
Design · 30 topics
Comparison with other serialization formats · 11 topics
Features · 4 topics
History and name · 4 topics
Software (emitters and parsers) · 3 topics
Criticism · 2 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Filename extensions
.yaml, .yml
Initial release
11 May 2001; 25 years ago (2001-05-11)
Internet media type
application/yaml
Latest release
1.2 (Revision 1.2.2) 1 October 2021; 4 years ago (2021-10-01)
Open format?
Yes
Type of format
Data interchange

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History and name

Design

Features

Comparison with other serialization formats

Software (emitters and parsers)

Criticism

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How YAML connects Entity context

The extracted context around YAML shows recurring relationship patterns in the source. For example, YAML → For, Hence, Ian Cordasco, In, Ingy, It, Kirill Simonov, Most, Net, Similarly, Some, Syck, There, To Another extracted example is YAML → April, Clark Evans, December, HTML, Ingy, Its, Net, Oren Ben-Kiki, Originally YAML, SGML, XML, YAML Ain't Markup Language, Yet Another Markup Language. Use these groups to spot repeated connection types before inspecting the individual relationships.

YAML

Top relations

related to Software (emitters and parsers) · 14
YAML → For, Hence, Ian Cordasco, In, Ingy, It, Kirill Simonov, Most, Net, Similarly, Some, Syck, There, To
related to history · 13
YAML → April, Clark Evans, December, HTML, Ingy, Its, Net, Oren Ben-Kiki, Originally YAML, SGML, XML, YAML Ain't Markup Language, Yet Another Markup Language
related to Comparison with XML · 12
YAML → Additionally, Doctrine, However, Instead YAML, Kwalify, Moreover, Rx, XML, XML's, XSLT, YAML's, YAXML
related to Data processing and representation · 9
YAML → All YAML-compliant, API, Finally, For, In, Moreover, Presentation, The, The YAML
related to Security · 7
YAML → Any YAML, However, Perl, This, Using, While, YAML's
related to Syntax · 7
YAML → JSON, The, Though UTF-32, Unicode, UTF-16, UTF-32, UTF-8
related to Comparison with JSON · 6
YAML → JSON, JSON's, Syck, This, Though, While
related to Non-hierarchical data models · 6
YAML → An, IDREF, The YAML, This, Unlike JSON, XML
related to Indented delimiting · 5
YAML → Because YAML, CDATA, JSON, XML, YAML's
related to Comparison with TOML · 4
YAML → Opinions, TOML, TOML's, YAML's

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data json may used document types language indentation strings using files xml also type whitespace one structures example syntax keys

YAML relationships Subject–Predicate–Object triples

TTTA extracted 104 structured relationships around YAML. Examples in this analysis include YAML → Filename extensions → .yaml, .yml and YAML → Initial release → 11 May 2001; 25 years ago (2001-05-11). The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
YAMLFilename extensions.yaml, .yml1.00infobox
YAMLInitial release11 May 2001; 25 years ago (2001-05-11)1.00infobox
YAMLInternet media typeapplication/yaml1.00infobox
YAMLLatest release1.2 (Revision 1.2.2) 1 October 2021; 4 years ago (2021-10-01)1.00infobox
YAMLOpen format?Yes1.00infobox
YAMLType of formatData interchange1.00infobox
YAMLUniform Type Identifier (UTI)public.yaml1.00infobox
YAMLWebsiteyaml.org1.00infobox
Viminstance ofSome source-code editors0.80text
Emacsinstance ofSome source-code editors0.80text
and various integrated development environments have features that make editing YAML easierinstance ofSome source-code editors0.80text
such as folding up nested structures or automatically highlighting syntax errors.The official recommended filename extension for YAML files has been.yamlsince 2006instance ofSome source-code editors0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around YAML bring nearby vocabulary together. In this analysis, examples include Data, Structures and Json. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • YAML
    • Data
    • Structures
    • Json
    • Document
    • Xml
    • Files
    • Types
    • Languages
    • Many
    • Parser
    • Specification
    • Documents
  • yaml
    • Data
    • Structures
    • Json
    • Document
    • Xml
    • Files
    • Types
    • Languages
    • Many
    • Parser
    • Specification
    • Documents
  • data serialization language
    • Types
    • Yaml
    • Structures
    • Json
    • Languages
    • Many
    • Example
    • Syntax
    • Files
    • Using
    • Xml
    • Serialization
  • json
    • Values
    • Yaml
    • Serialization
    • Syntax
    • Associative
    • Space
    • Key
    • Quotes
    • Separated
    • Documents
    • Keys
    • Strings
  • document separator
    • Yaml
    • Used
    • Within
    • Documents
    • One
    • May
    • Syntax
    • Quotes
    • Single
    • Separated
    • Specification
    • Values
  • strings
    • Escape
    • Lists
    • Key
    • One
    • Types
    • Space
    • Characters
    • Parser
    • Within
    • Separated
    • Values
    • Whitespace
  • associative arrays
    • Keys
    • Space
    • Key
    • Separated
    • Values
    • Strings
    • One
    • Json
    • Lists
    • Quotes
    • Data
    • Types
  • associative array
    • Keys
    • Space
    • Key
    • Separated
    • Values
    • Strings
    • One
    • Json
    • Lists
    • Quotes
    • Data
    • Types

Connections between topic areas Semantic bridges

For YAML, one of the stronger structural bridges in this analysis connects YAML with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
YAMLOverview · splits 61 ⟂ 33
YAMLDesign · splits 63 ⟂ 31
YAMLComparison with other serialization formats · splits 82 ⟂ 12
YAMLHistory and name · splits 89 ⟂ 5
YAMLFeatures · splits 89 ⟂ 5
YAMLSoftware (emitters and parsers) · splits 90 ⟂ 4
YAMLCriticism · splits 91 ⟂ 3

Map overview Semantic statistics

YAML

Nodes94
Edges93
Triples104
Avg. degree1.98
Density0.021277
Components1

Source & methodology

TTTA analyzes the structure around YAML to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Standards, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — YAML · EN edition · Analysis: TopicsToTalkAbout

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