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Jmol is computer software for molecular modelling of chemical structures in 3 dimensions. It is an open-source Java viewer for chemical structures in 3D. The name originated from the Java programming language, molecules, and also the mol file format.
The analysis highlights Products, Software and Screenshots as prominent areas in the source structure around Jmol.
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 Jmol shows recurring relationship patterns in the source. For example, Jmol → Biomodel Complements, Chemistry, Demonstration, Israel Journal, Jaime, Jmol Wiki, JmolWiki, Joel, JSmol, Life, MediaWiki, Molview, Nakane, Official, Prilusky, Proteopedia, Renjian, Robert, SourceForge, Sussman Another extracted example is Jmol → GNU Lesser General Public, It, Java, LGPL, License, Linux, The, There, Unix, Windows. 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.
java 3d molecular software jsmol structures structure web language display chemical molecules interactive also without open-source molecule chemistry extension programming
TTTA extracted 44 structured relationships around Jmol. Examples in this analysis include Jmol → Available in → 24 languages and Jmol → Developer → Jmol development team. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Jmol | Available in | 24 languages | 1.00 | infobox |
| Jmol | Developer | Jmol development team | 1.00 | infobox |
| Jmol | License | LGPL 2.0 | 1.00 | infobox |
| Jmol | Operating system | Cross-platform | 1.00 | infobox |
| Jmol | Platform | Systems with Java and Web browsers without Java | 1.00 | infobox |
| Jmol | Release | 2001; 25 years ago (2001) | 1.00 | infobox |
| Jmol | Repository | jmol.sourceforge.net | 1.00 | infobox |
| Jmol | Stable release | 16.4.19 / 17 August 2026; 7 days ago (17 August 2026) | 1.00 | infobox |
| Jmol | Type | Molecular modelling | 1.00 | infobox |
| Jmol | Website | www.jmol.org | 1.00 | infobox |
| Jmol | Written in | Java | 1.00 | infobox |
| Jmol | related to External links | Demonstration | 0.60 | section |
The concept neighborhoods around Jmol bring nearby vocabulary together. In this analysis, examples include Molecular, Extension and Jsmol. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Jmol, one of the stronger structural bridges in this analysis connects Jmol with Software. 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 Jmol to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Products, Software & Screenshots, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Jmol · EN edition · Analysis: TopicsToTalkAbout