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Adminer: Art, Features & Overview

Adminer (formerly known as phpMinAdmin) is a tool for managing content in databases. It natively supports MySQL, MariaDB, PostgreSQL, SQLite, MS SQL, Oracle, Elasticsearch and MongoDB. Adminer is distributed under Apache license (or GPL v2) in a form of a single PHP file (around 470 KiB in size). Its author Jakub Vrána started to develop this tool in…

Language: English [EN]
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Adminer topic overview

The analysis highlights Art, Features and Overview as prominent areas in the source structure around Adminer.

Related topics
28
Source areas
2
Connected nodes
30
Extracted relationships
9
Related term clusters
18
Bridge connections
30

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 · 15 topics
Overview · 13 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
42 languages
Developer
Jakub Vrána
License
Apache license or GPL v2
Release
25 July 2007 (2007-07-25)
Repository
github.com/vrana/adminer
Stable release
5.4.1 (26 September 2025; 10 months ago (2025-09-26)) [±]

Start with your topic. Discover where to go next.

Explore different angles and find fresh ideas to shape your next piece of content.

Explore all related topics Closing gaps

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.

Overview

Features

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Adminer connects Entity context

The extracted context around Adminer shows recurring relationship patterns in the source. For example, Adminer → 42 languages Another extracted example is Adminer → Jakub Vrána. Use these groups to spot repeated connection types before inspecting the individual relationships.

Adminer

Top relations

Available in · 1
Adminer → 42 languages
Developer · 1
Adminer → Jakub Vrána
License · 1
Adminer → Apache license or GPL v2
Release · 1
Adminer → 25 July 2007 (2007-07-25)
Repository · 1
Adminer → github.com/vrana/adminer
Stable release · 1
Adminer → 5.4.1 (26 September 2025; 10 months ago (2025-09-26)) [±]
Type · 1
Adminer → Database management system
Website · 1
Adminer → www.adminer.org
Written in · 1
Adminer → PHP

Important terminology

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

Important terminology

mysql tool php com database managing size author started got also sql phpmyadmin apache license gpl v2 jakub vrána databases

Adminer relationships Subject–Predicate–Object triples

TTTA extracted 9 structured relationships around Adminer. Examples in this analysis include Adminer → Available in → 42 languages and Adminer → Developer → Jakub Vrána. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
AdminerAvailable in42 languages1.00infobox
AdminerDeveloperJakub Vrána1.00infobox
AdminerLicenseApache license or GPL v21.00infobox
AdminerRelease25 July 2007 (2007-07-25)1.00infobox
AdminerRepositorygithub.com/vrana/adminer1.00infobox
AdminerStable release5.4.1 (26 September 2025; 10 months ago (2025-09-26)) [±]1.00infobox
AdminerTypeDatabase management system1.00infobox
AdminerWebsitewww.adminer.org1.00infobox
AdminerWritten inPHP1.00infobox

Related concept clusters Related term clusters

The concept neighborhoods around Adminer bring nearby vocabulary together. In this analysis, examples include Also, Apache and Databases. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Adminer
    • Also
    • Apache
    • Databases
    • File
    • Form
    • Got
    • Gpl
    • License
    • Managing
    • Single
    • V2
    • Com
  • adminer
    • Also
    • Apache
    • Databases
    • File
    • Form
    • Got
    • Gpl
    • License
    • Managing
    • Single
    • V2
    • Com
  • mysql
    • Also
    • Database
    • Sql
    • Website
    • Com
    • Php
    • Edit
    • Elasticsearch
    • Mongodb
    • Oracle
    • Postgresql
    • Sqlite
  • apache license
    • File
    • Form
    • Gpl
    • License
    • Single
    • V2
    • Php
    • Edit
    • Support
    • Also
    • Database
    • Databases
  • ms sql
    • Edit
    • Sqlite
    • Support
    • Also
    • Apache
    • Database
    • File
    • Form
    • Gpl
    • Jakub
    • License
    • Light-weight
  • gpl v2
    • File
    • Form
    • License
    • Single
    • V2
    • Php
    • Edit
    • Support
    • Also
    • Database
    • Jakub
    • Light-weight
  • database
    • Website
    • Php
    • Edit
    • Mysql
    • Support
    • Databases
    • File
    • Form
    • Gpl
    • Jakub
    • License
    • Light-weight
  • sql
    • Edit
    • Sqlite
    • Support
    • Also
    • Apache
    • Database
    • File
    • Form
    • Gpl
    • Jakub
    • License
    • Light-weight

Connections between topic areas Semantic bridges

For Adminer, one of the stronger structural bridges in this analysis connects Adminer 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.

Min side: 3
Adminer — Features · splits 15 ⟂ 16
Adminer — Overview · splits 17 ⟂ 14

Map overview Semantic statistics

Adminer

Nodes31
Edges30
Triples9
Avg. degree1.94
Density0.064516
Components1

Source & methodology

TTTA analyzes the structure around Adminer to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art, Features & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Adminer · EN edition · Analysis: TopicsToTalkAbout

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