Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Atom je svobodný textový editor postavený na platformě Electron, která je vystavena na Node.js a webovém prohlížeči Chromium. Je vyvíjen společností GitHub, má zabudovanou podporu pro Git a podporu zásuvných modulů naprogramovaných v JavaScriptu.
Podpora zvýrazňování syntaxe, Dějiny & Overview
Explore the main themes, entities and connections around Atom (editor). 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.
atom editor github macos linux online textový 2022 node js microsoft windows javascript coffeescript datové položky zvýrazňování syntaxe issn 1212-8309
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Atom (editor) | Aktuální verze | 1.63.1 (23. listopadu 2022) | 1.00 | infobox |
| Atom (editor) | Licence | licence MIT | 1.00 | infobox |
| Atom (editor) | Operační systém | macOS Microsoft Windows Linux FreeBSD | 1.00 | infobox |
| Atom (editor) | Typ softwaru | editor zdrojového kódu | 1.00 | infobox |
| Atom (editor) | Vyvíjeno v | JavaScript, CoffeeScript, kaskádové styly, C++, HyperText Markup Language a Node.js | 1.00 | infobox |
| Atom (editor) | Vývojář | GitHub Inc. | 1.00 | infobox |
| Atom (editor) | Web | atom.io | 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.