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MODX: History & Community
MODX (originally MODx) is an open source content management system and web application framework for publishing content on the World Wide Web and intranets. MODX is licensed under the GPL, is written in the PHP programming language, and supports MySQL, MariaDB and Percona Server as the database. It was awarded Packt Publishing's Most Promising Open…
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MODX topic overview
The analysis highlights History and Community as prominent areas in the source structure around MODX.
Related topics
73
Source areas
5
Connected nodes
78
Extracted relationships
120
Concept neighborhoods
14
Bridge connections
78
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Features · 26 topics
Translations and community · 26 topics
Overview · 10 topics
History · 8 topics
Recognition, awards, and publications · 3 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Developer
MODX LLC
License
GPL
Operating system
Cross-platform
Original authors
Raymond Irving Ryan Thrash
Preview release
3.0.0-beta2 / 2021-11-23
Release
2004
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. 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.
How MODX connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around MODX shows recurring relationship patterns in the source. For example, MODX → Alsatian, Brazilian, Bulgarian, Chinese, Czech, Danish, Dutch, European, Finnish, French, German, Greek, Hebrew, India, Italian, Japanese, Norwegian, Other, Persian, Polish Another extracted example is MODX → Antano Solar John, Bob, Building, Content Management Framework, Create, Dallas Texas, ISBN, Japanese, Journey Through, Missing, MODX CMS, MODX Community Japan, MODX Press, MODX Revolution, MODX Web Development, NETTUTS, Packt Publishing, Ray, Sanity Press, Shane. Use these groups to spot repeated connection types before inspecting the individual relationships.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 120 structured relationships around MODX. Examples in this analysis include MODX → Developer → MODX LLC and MODX → License → GPL. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
MODX
Developer
MODX LLC
1.00
infobox
MODX
License
GPL
1.00
infobox
MODX
Operating system
Cross-platform
1.00
infobox
MODX
Original authors
Raymond Irving Ryan Thrash
1.00
infobox
MODX
Preview release
3.0.0-beta2 / 2021-11-23
1.00
infobox
MODX
Release
2004
1.00
infobox
MODX
Repository
github.com/modxcms/revolution
1.00
infobox
MODX
Stable release
3.1.2 / 2025-04-02[±]
1.00
infobox
MODX
Type
Content Management System
1.00
infobox
MODX
Website
modx.com
1.00
infobox
MODX
Written in
PHP
1.00
infobox
MODX
is a
easy-to-use
0.90
text
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around MODX bring nearby vocabulary together. In this analysis, examples include Released, Content and Cms. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
MODX
Released
Content
Cms
July
Web
Developer
Public
Management
Version
First
Llc
March
modx
Released
Content
Cms
July
Web
Developer
Public
Management
Version
First
Llc
March
content management system
Management
System
Packt
Framework
Open
Source
Web
Publishing
Revolution
Current
Gpl
Website
translations and community
Developer
Current
Gpl
Com
Publishing
Raymond
Website
Features
First
Llc
Packt
Php
gpl
Php
Current
Com
Community
Publishing
Raymond
Website
Features
Llc
Packt
Revolution
Supports
linux.com
Current
Gpl
Community
Publishing
Raymond
Website
Features
Llc
May
Packt
Php
Revolution
sitepoint.com
Current
Gpl
Community
Publishing
Raymond
Website
Features
Llc
May
Packt
Php
Revolution
php
Supports
Current
Com
Community
Publishing
Raymond
Website
Features
Llc
Packt
Revolution
System
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For MODX, one of the stronger structural bridges in this analysis connects MODX with Features. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
MODX
Nodes79
Edges78
Triples120
Avg. degree1.97
Density0.025316
Components1
Source & methodology
TTTA analyzes the structure around MODX to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Community, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — MODX · EN edition · Analysis: TopicsToTalkAbout
For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.
