Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Watir

Watir (Web Application Testing in Ruby, pronounced water), is an open-source family of Ruby libraries for automating web browsers. It drives Internet Explorer, Firefox, Chrome, Opera and Safari, and is available as a RubyGems gem. Watir was primarily developed by Bret Pettichord and Paul Rogers.

Functionality & Overview

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 Watir. 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.

Developers
Bret Pettichord, Charley Baker, Angrez Singh, Jari Bakken, Jarmo Pertman, Hugh McGowan, Andreas Tolf Tolfsen, Paul Rogers, Dave Hoover, Sai Venkatakrishnan, Tom Copeland, Alex R…
License
MIT license
Operating system
Cross-platform
Stable release
7.3 / August 4, 2023; 3 years ago (2023-08-04)
Type
Software testing framework for web applications
Written in
Ruby

Topics to explore

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

Overview

Functionality

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

Watir

Nodes19
Edges18
Triples41
Avg. degree1.89
Density0.105263
Components1

How this topic connects Entity context

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

Watir

Top relations

related to Watir-Classic · 14
Watir → As, COM, Component Object Model, Embedding, HTTP-based, Instead, Internet Explorer, Microsoft, Object Linking, OLE, Ruby, Technically, The COM, Watir-Classic
related to Watir-Webdriver · 11
Watir → API, HTML, In Ruby, Jari Bakken, Not, Selenium, Selenium-Webdriver, W3C, Watir API, Watir-Webdriver, WebDriver
related to External links · 4
Watir → Cheese Archived, Jeff Morgan, Watir PodcastCucumber, Wayback Machine
related to Watirspec · 4
Watir → Ruby, RubySpec, Watir API, Watirspec
Developers · 1
Watir → Bret Pettichord, Charley Baker, Angrez Singh, Jari Bakken, Jarmo Pertman, Hugh McGowan, Andreas Tolf Tolfsen, Paul Rogers, Dave Hoover, Sai Venkatakrishnan, Tom Copeland, Alex R…
License · 1
Watir → MIT license
Operating system · 1
Watir → Cross-platform
Stable release · 1
Watir → 7.3 / August 4, 2023; 3 years ago (2023-08-04)
Type · 1
Watir → Software testing framework for web applications
Website · 1
Watir → watir.com

Important terminology Word statistics

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

Important terminology

ruby watir-classic selenium internet explorer watir-webdriver web testing watirspec com bret pettichord paul rogers object ole program automation api specification

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
WatirDevelopersBret Pettichord, Charley Baker, Angrez Singh, Jari Bakken, Jarmo Pertman, Hugh McGowan, Andreas Tolf Tolfsen, Paul Rogers, Dave Hoover, Sai Venkatakrishnan, Tom Copeland, Alex R…1.00infobox
WatirLicenseMIT license1.00infobox
WatirOperating systemCross-platform1.00infobox
WatirStable release7.3 / August 4, 2023; 3 years ago (2023-08-04)1.00infobox
WatirTypeSoftware testing framework for web applications1.00infobox
WatirWebsitewatir.com1.00infobox
WatirWritten inRuby1.00infobox
Watirrelated to External linksWatir PodcastCucumber0.60section
Watirrelated to External linksCheese Archived0.60section
Watirrelated to External linksWayback Machine0.60section
Watirrelated to External linksJeff Morgan0.60section
Watirrelated to FunctionalityThe0.60section

Related concept clusters Concept neighborhoods

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

    Connections between topic areas Semantic bridges

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

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.