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Ruby on Rails

Ruby on Rails nebo jen Rails je framework pro vývoj webových aplikací napojených na databázi, používající architekturu model-view-controller. Vytvořil jej dánský programátor David Heinemeier Hansson při práci na projektu Basecamp.

[CS, Czech, Čeština]

Základní vlastnosti & Overview

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Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Ruby on Rails. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Aktuální verze
8.1.3 (24. března 2026)
Licence
MIT
Operační systém
Nezávislý na platformě
První vydání
13. prosince 2005
Typ softwaru
Framework na vývoj webových aplikací
Vyvíjeno v
Ruby

Topics to explore

A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Základní vlastnosti

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.

Ruby on Rails

Nodes15
Edges14
Triples18
Avg. degree1.87
Density0.133333
Components1

How this topic connects Entity context

Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.

See the strongest relationship patterns around the current topic before diving into the raw triples.

Ruby on Rails

Top relations

related to Externí odkazy · 10
Ruby on Rails → Active Record, Konvence, MujMac, Obrázky, Rails, RailsSeriál, RailsČlánek, Root, Ruby, Wikimedia CommonsČeská
Aktuální verze · 1
Ruby on Rails → 8.1.3 (24. března 2026)
Licence · 1
Ruby on Rails → MIT
Operační systém · 1
Ruby on Rails → Nezávislý na platformě
První vydání · 1
Ruby on Rails → 13. prosince 2005
Typ softwaru · 1
Ruby on Rails → Framework na vývoj webových aplikací
Vyvíjeno v · 1
Ruby on Rails → Ruby
Vývojář · 1
Ruby on Rails → David Heinemeier Hansson
Web · 1
Ruby on Rails → www.rubyonrails.org

Important terminology Word statistics

Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

rails aplikace ruby data framework databázi view model-view-controller programátor jazyce tedy části model základní vývoj webových aplikací david heinemeier hansson

Entity relationships Subject–Predicate–Object triples

Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.
SubjectPredicateObjectConfidenceSrc
Ruby on RailsAktuální verze8.1.3 (24. března 2026)1.00infobox
Ruby on RailsLicenceMIT1.00infobox
Ruby on RailsOperační systémNezávislý na platformě1.00infobox
Ruby on RailsPrvní vydání13. prosince 20051.00infobox
Ruby on RailsTyp softwaruFramework na vývoj webových aplikací1.00infobox
Ruby on RailsVyvíjeno vRuby1.00infobox
Ruby on RailsVývojářDavid Heinemeier Hansson1.00infobox
Ruby on RailsWebwww.rubyonrails.org1.00infobox
Ruby on Railsrelated to Externí odkazyObrázky0.60section
Ruby on Railsrelated to Externí odkazyRuby0.60section
Ruby on Railsrelated to Externí odkazyRails0.60section
Ruby on Railsrelated to Externí odkazyWikimedia CommonsČeská0.60section

Related concept clusters Concept neighborhoods

Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.