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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…
Art, Features & Overview
Explore the main themes, entities and connections around Adminer. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. 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.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
mysql tool php com database managing size author started got also sql phpmyadmin apache license gpl v2 jakub vrána databases
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Adminer | Available in | 42 languages | 1.00 | infobox |
| Adminer | Developer | Jakub Vrána | 1.00 | infobox |
| Adminer | License | Apache license or GPL v2 | 1.00 | infobox |
| Adminer | Release | 25 July 2007 (2007-07-25) | 1.00 | infobox |
| Adminer | Repository | github.com/vrana/adminer | 1.00 | infobox |
| Adminer | Stable release | 5.4.1 (26 September 2025; 10 months ago (2025-09-26)) [±] | 1.00 | infobox |
| Adminer | Type | Database management system | 1.00 | infobox |
| Adminer | Website | www.adminer.org | 1.00 | infobox |
| Adminer | Written in | PHP | 1.00 | infobox |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.