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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…
The analysis highlights History and Standards as prominent areas in the source structure around YAML.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
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.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
data json may used document types language indentation strings using files xml also type whitespace one structures example syntax keys
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.
| 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 |
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.
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.
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