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NetHack is an open source single-player roguelike video game, first released in 1987 and maintained by the NetHack DevTeam. The game is a fork of the 1984 game Hack, itself inspired by the 1980 game Rogue. The player takes the role of one of several pre-defined character classes to descend through multiple dungeon floors, fighting monsters and collecting…
History & Legacy
Explore the main themes, entities and connections around NetHack. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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High-confidence facts extracted from structured source data. Use them as anchors for further research.
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Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
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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 |
|---|---|---|---|---|
| NetHack | Developer | The NetHack DevTeam | 1.00 | infobox |
| NetHack | Genre | Roguelike | 1.00 | infobox |
| NetHack | Platforms | Windows, Linux, Mac OS X, Windows CE, OS/2, *BSD, System V, Solaris, HP-UX, BeOS, VMS, Haiku, MS-DOS | 1.00 | infobox |
| NetHack | Release | Initial 1.3d / 28 July 1987; 39 years ago (1987-07-28) Latest 5.0.0 / 2 May 2026; 3 months ago (2 May 2026) | 1.00 | infobox |
| NetHack | is a | open source single-player roguelike video game | 0.90 | text |
| NetHack | is a | software derivative of Hack | 0.90 | text |
| Discworld | instance of | including popular cultural reference to works | 0.80 | text |
| Raiders of the Lost Ark.It is identified as one of the | instance of | including popular cultural reference to works | 0.80 | text |
| knight | instance of | There are traditional fantasy roles | 0.80 | text |
| wizard | instance of | There are traditional fantasy roles | 0.80 | text |
| rogue | instance of | There are traditional fantasy roles | 0.80 | text |
| and priest | instance of | There are traditional fantasy roles | 0.80 | text |
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.