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Joplin is a free and open-source desktop and mobile note-taking and to-do list application written for Unix-like (including macOS and Linux) and Microsoft Windows operating systems, as well as iOS, Android, and Linux/Windows terminals, written in JavaScript. The desktop app is made using Electron, while the mobile app uses React Native.
History, Features & Overview
Explore the main themes, entities and connections around Joplin (software). 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.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Joplin (software) | Developer | Laurent Cozic | 1.00 | infobox |
| Joplin (software) | License | AGPL License, Joplin Server Personal Use License | 1.00 | infobox |
| Joplin (software) | Operating system | Linux, macOS, Microsoft Windows, Android, iOS | 1.00 | infobox |
| Joplin (software) | Platform | Electron, React Native | 1.00 | infobox |
| Joplin (software) | Release | 2017 (2017) | 1.00 | infobox |
| Joplin (software) | Repository | github.com/laurent22/joplin | 1.00 | infobox |
| Joplin (software) | Stable release | 3.6.16 / 20 August 2026; 4 days ago (20 August 2026) | 1.00 | infobox |
| Joplin (software) | Type | Note-taking application | 1.00 | infobox |
| Joplin (software) | Website | joplinapp.org | 1.00 | infobox |
| Joplin (software) | Written in | TypeScript, JavaScript | 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.