YAML

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YAML topic overview

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

Related topics: 83
Source areas: 7
Connected nodes: 90
Extracted relationships: 83
Related term clusters: 26
Bridge connections: 90

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 · 9 topics

Features · 4 topics

History and name · 4 topics

Software (emitters and parsers) · 3 topics

Criticism · 1 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

Start with your topic. Discover where to go next.

Explore different angles and find fresh ideas to shape your next piece of content.

YAML

8Human-readable · Data serialization language · Configuration file

27Scalar (computing) · String (computer science) · Integer (computer science)

4Control character · UTF-8 · UTF-16

4TOML · INI file · Off-side rule

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.

History and name

Features

Comparison with other serialization formats

Software (emitters and parsers)

Criticism

Significant whitespace

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How YAML connects Entity context

The extracted context around YAML shows recurring relationship patterns in the source. For example, YAML → April, Clark Evans, December, HTML, Ingy, Net, Oren Ben-Kiki, Originally YAML, SGML, XML, YAML Ain't Markup Language, Yet Another Markup Language Another extracted example is YAML → Additionally, Doctrine, Instead YAML, Kwalify, Moreover, Rx, XML, XML's, XSLT, YAML's, YAXML. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to history · 12

YAML → April, Clark Evans, December, HTML, Ingy, Net, Oren Ben-Kiki, Originally YAML, SGML, XML, YAML Ain't Markup Language, Yet Another Markup Language

related to Comparison with XML · 11

YAML → Additionally, Doctrine, Instead YAML, Kwalify, Moreover, Rx, XML, XML's, XSLT, YAML's, YAXML

related to Software (emitters and parsers) · 7

YAML → Hence, Ian Cordasco, Ingy, Kirill Simonov, Net, Similarly, Syck

related to Data processing and representation · 6

YAML → All YAML-compliant, API, Finally, Moreover, Presentation, The YAML

related to Syntax · 6

YAML → JSON, Though UTF-32, Unicode, UTF-16, UTF-32, UTF-8

related to Indented delimiting · 5

YAML → Because YAML, CDATA, JSON, XML, YAML's

related to Comparison with JSON · 4

YAML → JSON, JSON's, Syck, Though

related to Comparison with TOML · 4

YAML → Opinions, TOML, TOML's, YAML's

related to Non-hierarchical data models · 4

YAML → IDREF, The YAML, Unlike JSON, XML

related to Security · 4

YAML → Any YAML, Perl, Using, 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 83 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.

Subject	Predicate	Object	Confidence	Src
YAML	Filename extensions	.yaml, .yml	1.00	infobox
YAML	Initial release	11 May 2001; 25 years ago (2001-05-11)	1.00	infobox
YAML	Internet media type	application/yaml	1.00	infobox
YAML	Latest release	1.2 (Revision 1.2.2) 1 October 2021; 4 years ago (2021-10-01)	1.00	infobox
YAML	Open format?	Yes	1.00	infobox
YAML	Type of format	Data interchange	1.00	infobox
YAML	Uniform Type Identifier (UTI)	public.yaml	1.00	infobox
YAML	Website	yaml.org	1.00	infobox
Vim	instance of	Some source-code editors	0.80	text
Emacs	instance of	Some source-code editors	0.80	text
and various integrated development environments have features that make editing YAML easier	instance of	Some source-code editors	0.80	text
such as folding up nested structures or automatically highlighting syntax errors.The official recommended filename extension for YAML files has been.yamlsince 2006	instance of	Some source-code editors	0.80	text

Related concept clusters Related term clusters

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

YAML — Overview · splits 58 ⟂ 33

YAML — Design · splits 60 ⟂ 31

YAML — Comparison with other serialization formats · splits 81 ⟂ 10

YAML — History and name · splits 86 ⟂ 5

YAML — Features · splits 86 ⟂ 5

YAML — Software (emitters and parsers) · splits 87 ⟂ 4

Map overview Semantic statistics

YAML

Nodes91

Edges90

Triples83

Avg. degree1.98

Density0.021978

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

YAML: History & Standards

YAML topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

History and name

Design

Features

Comparison with other serialization formats

Software (emitters and parsers)

Criticism

For the semantics nerds

Advanced semantic analysis

How YAML connects Entity context

YAML

Top relations

Important terminology

Important terminology

YAML relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

YAML

Source & methodology