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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.
Science & Overview
Explore the main themes, entities and connections around Dat (software). Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. 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.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
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| 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 |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.