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Kazehakase (Japanese: Dr. Wind (風博士, kaze hakase)) is a discontinued web browser for Unix-like operating systems that uses the GTK+ libraries. Kazehakase embeds the Gecko layout engine as well as GTK+ WebKit.
Features & Overview
Explore the main themes, entities and connections around Kazehakase. 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.
browser japanese unix-like dr wind gtk web operating well features webkit free open-source software portal 風博士 kaze hakase discontinued systems
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Kazehakase | Final release | 0.5.8 / 29 September 2009 | 1.00 | infobox |
| Kazehakase | License | GPL-2.0-or-later | 1.00 | infobox |
| Kazehakase | Operating system | Unix-like | 1.00 | infobox |
| Kazehakase | Release | January 29, 2003 (2003-01-29) | 1.00 | infobox |
| Kazehakase | Type | Web browser Feed reader | 1.00 | infobox |
| Kazehakase | Website | Archived March 4, 2016, at the Wayback Machine | 1.00 | infobox |
| Kazehakase | related to External links | OSDNReview | 0.60 | section |
| Kazehakase | related to External links | French | 0.60 | section |
| Kazehakase | related to External links | Review | 0.60 | section |
| Kazehakase | related to External links | March | 0.60 | section |
| Kazehakase | related to External links | April | 0.60 | section |
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.