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Textpattern: History, Features & Overview
Textpattern is a free and open-source content management system (CMS) for PHP and MySQL. It was originally developed by Dean Allen and now developed by Team Textpattern. While it is typically listed among weblogging tools, its aim is to be a general-purpose content management system. The current stable version is Textpattern 4.9.1.
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Textpattern topic overview
The analysis highlights History, Features and Overview as prominent areas in the source structure around Textpattern.
Related topics
39
Source areas
3
Connected nodes
42
Extracted relationships
80
Concept neighborhoods
9
Bridge connections
42
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 · 31 topics
Overview · 6 topics
History · 2 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.
Available in
54 languages
Developer
Team Textpattern
License
GNU GPLv2
Operating system
Unix-like, Windows, Linux
Original author
Dean Allen
Release
March 19, 2003; 23 years ago (2003-03-19)
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 Textpattern 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 Textpattern shows recurring relationship patterns in the source. For example, Textpattern → An, Arabic, Atom, Catalan, Czech, Danish, Development, Dutch, Ease, English, Estonian, French, German, Greek, HTML, Icelandic, Indonesian, Italian, Japanese, Latvian Another extracted example is Textpattern → Alex Shiels, Allen's, During, GNU General Public License, In, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, November, Pedro Palazón Archived, Release Candidate, Sencer Yurdagül Archived, September, Since, Textism, Textpattern CMS, Textpattern's, The, Wayback Machine, Wikisource-logo. 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 80 structured relationships around Textpattern. Examples in this analysis include Textpattern → Available in → 54 languages and Textpattern → Developer → Team Textpattern. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Textpattern
Available in
54 languages
1.00
infobox
Textpattern
Developer
Team Textpattern
1.00
infobox
Textpattern
License
GNU GPLv2
1.00
infobox
Textpattern
Operating system
Unix-like, Windows, Linux
1.00
infobox
Textpattern
Original author
Dean Allen
1.00
infobox
Textpattern
Release
March 19, 2003; 23 years ago (2003-03-19)
1.00
infobox
Textpattern
Repository
github.com/textpattern/textpattern
1.00
infobox
Textpattern
Stable release
4.9.1 / 2026-02-14[±]
1.00
infobox
Textpattern
Type
Blog software, Content Management System, Content Management Framework
1.00
infobox
Textpattern
Website
textpattern.com
1.00
infobox
Textpattern
Written in
PHP
1.00
infobox
Textpattern
is a
free and open-source content management system
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 Textpattern bring nearby vocabulary together. In this analysis, examples include Release, Released and Version. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Textpattern
Release
Released
Version
Features
Code
Public
September
Site
Tags
New
Development
Html
textpattern
Release
Released
Version
Features
Code
Public
September
Site
Tags
New
Development
Html
content management system
System
Integrated
Allows
Management
Open-source
Php
Including
Languages
Site
Software
Free
Cms
features
New
Administrative
Code
Release
Site
Textpattern
Including
Released
System
Php
Html
Languages
dean allen
Allen
Dean
Team
Developers
Originally
Php
Languages
Software
Stable
Used
Site
Release
php
Dean
Languages
Software
Stable
Team
Used
Allen
Developers
Site
System
Version
Features
free and open-source
Open-source
Php
Management
Languages
Software
Content
System
Cms
Textpattern
gnu general public license
Theme
Many
Release
Including
Version
New
Released
Textpattern
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 Textpattern, one of the stronger structural bridges in this analysis connects Textpattern 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.
Textpattern
Nodes43
Edges42
Triples80
Avg. degree1.95
Density0.046512
Components1
Source & methodology
TTTA analyzes the structure around Textpattern to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Features & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
