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Fluent Design System (codenamed "Project Neon") is a design language developed in 2017 by Microsoft. Fluent Design is a revamp of Microsoft Design Language 2 ("Metro") that includes guidelines for the designs and interactions used within software designed for the company's Windows 10 and Windows 11 devices and platforms. The system is based on five key…
The analysis highlights Companies, Design components and Iconography as prominent areas in the source structure around Fluent Design System.
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 Fluent Design System shows recurring relationship patterns in the source. For example, Fluent Design System → Android, Fluent, Fluent UI React, Furthermore, It, Microsoft's Fluent Design System, React, Windows, WinUI Another extracted example is Fluent Design System → Android: fluentui-android, Cross-platform: fluentui-react-native, iOS, macOS: fluentui-apple, Microsoft Design Language 2, Microsoft UI Fabric, Office UI Fabric, Web: fluentui, Windows: microsoft-ui-xaml. 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.
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TTTA extracted 57 structured relationships around Fluent Design System. Examples in this analysis include Fluent Design System → Android → Android0.0.11 / February 12, 2021; 5 years ago (2021-02-12) iOS macOS0.2.3 / March 9, 2021; 5 years ago (2021-03-09)Windows2.6.0-prerelease.210315002 / March 17, 2021; 5 years a… and Fluent Design System → Android → 0.0.11 / February 12, 2021; 5 years ago (2021-02-12). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Fluent Design System | Android | Android0.0.11 / February 12, 2021; 5 years ago (2021-02-12) iOS macOS0.2.3 / March 9, 2021; 5 years ago (2021-03-09)Windows2.6.0-prerelease.210315002 / March 17, 2021; 5 years a… | 1.00 | infobox |
| Fluent Design System | Android | 0.0.11 / February 12, 2021; 5 years ago (2021-02-12) | 1.00 | infobox |
| Fluent Design System | Cross-platform | 0.23.3 / March 15, 2021; 5 years ago (2021-03-15) | 1.00 | infobox |
| Fluent Design System | Developer | Microsoft | 1.00 | infobox |
| Fluent Design System | iOS macOS | 0.2.3 / March 9, 2021; 5 years ago (2021-03-09) | 1.00 | infobox |
| Fluent Design System | License | MIT License | 1.00 | infobox |
| Fluent Design System | More Information | More Information | 1.00 | infobox |
| Fluent Design System | Operating system | Android, iOS, macOS, Windows, Web browser | 1.00 | infobox |
| Fluent Design System | Original author | Microsoft | 1.00 | infobox |
| Fluent Design System | Other names | Fluent UI | 1.00 | infobox |
| Fluent Design System | Other names | Microsoft Fluent Design System | 1.00 | infobox |
| Fluent Design System | Platform | ARM, x86-64 | 1.00 | infobox |
| Fluent Design System | Predecessor | Microsoft Design Language 2 | 1.00 | infobox |
| Fluent Design System | Predecessor | Microsoft UI Fabric | 1.00 | infobox |
| Fluent Design System | Predecessor | Office UI Fabric | 1.00 | infobox |
| Fluent Design System | Release | 2017; 9 years ago (2017) .mw-parser-output .cisb-header{line-height:normal;padding:0.2em}.mw-parser-output .cisb-table{width:100%}.mw-parser-output .cisb-table.cisb-last{margin-… | 1.00 | infobox |
| Fluent Design System | Release(s) | Microsoft Design Language 2 | 1.00 | infobox |
| Fluent Design System | Release(s) | Microsoft UI Fabric | 1.00 | infobox |
| Fluent Design System | Release(s) | Office UI Fabric | 1.00 | infobox |
| Fluent Design System | Release(s) | Web: fluentui | 1.00 | infobox |
| Fluent Design System | Release(s) | Android: fluentui-android | 1.00 | infobox |
| Fluent Design System | Release(s) | iOS, macOS: fluentui-apple | 1.00 | infobox |
| Fluent Design System | Release(s) | Windows: microsoft-ui-xaml | 1.00 | infobox |
| Fluent Design System | Release(s) | Cross-platform: fluentui-react-native | 1.00 | infobox |
| Fluent Design System | Repository | Web: fluentui | 1.00 | infobox |
| Fluent Design System | Repository | Android: fluentui-android | 1.00 | infobox |
| Fluent Design System | Repository | iOS, macOS: fluentui-apple | 1.00 | infobox |
| Fluent Design System | Repository | Windows: microsoft-ui-xaml | 1.00 | infobox |
| Fluent Design System | Repository | Cross-platform: fluentui-react-native | 1.00 | infobox |
| Fluent Design System | Type | Design language software | 1.00 | infobox |
The concept neighborhoods around Fluent Design System bring nearby vocabulary together. In this analysis, examples include Fluent, System and Microsoft. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Fluent Design System, one of the stronger structural bridges in this analysis connects Fluent Design System with Design components. 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 Fluent Design System to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Companies, Design components & Iconography, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Fluent Design System · EN edition · Analysis: TopicsToTalkAbout