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w3m is a free and open source text-based web browser licensed under the MIT license. It differs from other early text-based browsers by supporting elements such as tables, frames, and, in some distributions, images.
The analysis highlights History, Functions and Overview as prominent areas in the source structure around W3m.
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 W3m shows recurring relationship patterns in the source. For example, W3m → Another, Japanese, Kinoshita, Tatsuya Kinoshita, The, W3, WWW, WWWを見る Another extracted example is W3m → Emacs, GNOME Terminal, It, The, There. 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.
browser xterm web text-based original kinoshita terminal mit license fork free early tables frames distributions images functions see also emacs
TTTA extracted 34 structured relationships around W3m. Examples in this analysis include W3m → Available in → English and Japanese and W3m → Developers → Fumitoshi UKAI, Tatsuya Kinoshita, Rene Kita, et al.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| W3m | Available in | English and Japanese | 1.00 | infobox |
| W3m | Developers | Fumitoshi UKAI, Tatsuya Kinoshita, Rene Kita, et al. | 1.00 | infobox |
| W3m | License | MIT license | 1.00 | infobox |
| W3m | Operating system | OS/2, Unix & Unix-like (Solaris, SunOS, HP-UX, Linux, FreeBSD and EWS-UX (EWS-4800), Windows (with Cygwin), macOS (with Homebrew) | 1.00 | infobox |
| W3m | Original author | Akinori Ito | 1.00 | infobox |
| W3m | Release | 1995 | 1.00 | infobox |
| W3m | Repository | git.sr.ht/~rkta/w3m | 1.00 | infobox |
| W3m | Stable release | 0.5.6 / 23 January 2026 | 1.00 | infobox |
| W3m | Type | Web browser, Terminal pager | 1.00 | infobox |
| W3m | Website | git.sr.ht/~rkta/w3m | 1.00 | infobox |
| W3m | Written in | C | 1.00 | infobox |
| W3m | is a | free and open source text-based web browser licensed under the MIT license | 0.90 | text |
The concept neighborhoods around W3m bring nearby vocabulary together. In this analysis, examples include License, Mit and See. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For W3m, one of the stronger structural bridges in this analysis connects W3m with Functions. 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 W3m to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Functions & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — W3m · EN edition · Analysis: TopicsToTalkAbout