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Matomo, dříve Piwik, je svobodný a open source software pro webovou analytiku vyvíjený společností Innocraft a mezinárodním týmem dobrovolníků. Aplikace běží na PHP/MySQL webserveru. Zaznamenává online návštěvy jednoho nebo více webů a zobrazuje reporty pro další analýzu. K červenci 2017 používalo Matomo přes jeden milion webových stránek. Aplikace byla…
The analysis highlights Historie and Overview as prominent areas in the source structure around Matomo.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
The extracted context around Matomo shows recurring relationship patterns in the source. For example, Matomo → API, Dne, Piwik, SourceForge, UI Another extracted example is Matomo → Obrázky, Wikimedia CommonsOficiální. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
aplikace software verze php piwik innocraft společností červenci vývojáři datové položky sourceforge svobodný mysql jako projekt dříve open source webovou
TTTA extracted 15 structured relationships around Matomo. Examples in this analysis include Matomo → Aktuální verze → 5.13.0 (16. srpna 2026) and Matomo → Licence → GNU GPL (v3). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Matomo | Aktuální verze | 5.13.0 (16. srpna 2026) | 1.00 | infobox |
| Matomo | Licence | GNU GPL (v3) | 1.00 | infobox |
| Matomo | Operační systém | Multiplatformní software | 1.00 | infobox |
| Matomo | Typ softwaru | Webová analytika | 1.00 | infobox |
| Matomo | Vyvíjeno v | PHP | 1.00 | infobox |
| Matomo | Vývojář | Firma Innocraft a dobrovolníci | 1.00 | infobox |
| Matomo | Web | matomo.org | 1.00 | infobox |
| Matomo | related to Externí odkazy | Obrázky | 0.60 | section |
| Matomo | related to Externí odkazy | Wikimedia CommonsOficiální | 0.60 | section |
| Matomo | related to Historie | Piwik | 0.60 | section |
| Matomo | related to Historie | API | 0.60 | section |
| Matomo | related to Historie | UI | 0.60 | section |
The concept neighborhoods around Matomo bring nearby vocabulary together. In this analysis, examples include Piwik, Software and Innocraft. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Matomo, one of the stronger structural bridges in this analysis connects Matomo with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Matomo to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Matomo · CS edition · Analysis: TopicsToTalkAbout