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Dat (/dæt/) is a data distribution tool with a version control feature for tracking changes and publishing data sets. It is primarily used for data-driven science, but it can be used to keep track of changes in any data set. As a distributed revision control system it is aimed at speed, simplicity, security, and support for distributed, non-linear workflows.
The analysis highlights Science and Overview as prominent areas in the source structure around Dat (software).
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 Dat (software) shows recurring relationship patterns in the source. For example, Dat (software) → English Another extracted example is Dat (software) → Dat Team and others. 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.
dat data changes distributed control system bsd-3-clause tool sets science support foundation seeding max ogden license beaker version revision free
TTTA extracted 11 structured relationships around Dat (software). Examples in this analysis include Dat (software) → Available in → English and Dat (software) → Developers → Dat Team and others. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Dat (software) | Available in | English | 1.00 | infobox |
| Dat (software) | Developers | Dat Team and others | 1.00 | infobox |
| Dat (software) | License | BSD-3-Clause | 1.00 | infobox |
| Dat (software) | Operating system | Linux, macOS, Windows | 1.00 | infobox |
| Dat (software) | Original author | Max Ogden | 1.00 | infobox |
| Dat (software) | Release | 4 June 2013; 13 years ago (2013-06-04) | 1.00 | infobox |
| Dat (software) | Repository | github.com/datproject/dat | 1.00 | infobox |
| Dat (software) | Stable release | 14.0.2 / 26 March 2020; 6 years ago (26 March 2020) | 1.00 | infobox |
| Dat (software) | Type | Distributed data store | 1.00 | infobox |
| Dat (software) | Website | dat-ecosystem.org | 1.00 | infobox |
| Dat (software) | Written in | JavaScript | 1.00 | infobox |
The concept neighborhoods around Dat (software) bring nearby vocabulary together. In this analysis, examples include Data, Beaker and Browser. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the Dat (software) map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Dat (software) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Science & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Dat (software) · EN edition · Analysis: TopicsToTalkAbout