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List of built-in macOS apps

This is a list of built-in apps and system components developed by Apple for macOS that come bundled by default or are installed through a system update. Many of the default programs found on macOS have counterparts on Apple's other operating systems, most often on iOS and iPadOS.

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Technology, Applications & Art

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Research this topic

Explore the main themes, entities and connections around List of built-in macOS apps. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

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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

Applications

Utilities

Features

System components

Software Update

Discontinued

Development tools

Server technology

Core components

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.

List of built-in macOS apps

Nodes443
Edges442
Triples33
Avg. degree2
Density0.004515
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.

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

mac macos system os apple application also user users applications app 10 utility allows used file introduced files software window

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
Microsoft Officeinstance ofIt can also work with third-party applications0.80text
Adobe Photoshop or Pixelmator.BooksBooksinstance ofIt can also work with third-party applications0.80text
previously known as iBooksinstance ofIt can also work with third-party applications0.80text
is an eBook reading application first released with OS X Mavericksinstance ofIt can also work with third-party applications0.80text
crazyhouseinstance ofIt supports chess variants0.80text
losing chessinstance ofIt supports chess variants0.80text
the desktop wallpaperinstance ofIt allows users to access information about their device and modify various system settings and options on their device0.80text
screen saverinstance ofIt allows users to access information about their device and modify various system settings and options on their device0.80text
notificationsinstance ofIt allows users to access information about their device and modify various system settings and options on their device0.80text
Wi-Fiinstance ofIt allows users to access information about their device and modify various system settings and options on their device0.80text
Bluetoothinstance ofIt allows users to access information about their device and modify various system settings and options on their device0.80text
displayinstance ofIt allows users to access information about their device and modify various system settings and options on their device0.80text

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.