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agrep (approximate grep) is an open-source approximate string matching program, developed by Udi Manber and Sun Wu between 1988 and 1991, for use with the Unix operating system. It was ported to OS/2, MS-DOS, and Windows.
Overview & Alternative implementations
Explore the main themes, entities and connections around Agrep. 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.
tre matching manber string also license ms-dos windows program udi sun wu 1988 operating system os isc open-source unix regular
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Agrep | Developers | Udi Manber | 1.00 | infobox |
| Agrep | Developers | Sun Wu | 1.00 | infobox |
| Agrep | License | ISC open source license | 1.00 | infobox |
| Agrep | Operating system | Unix-like | 1.00 | infobox |
| Agrep | Operating system | OS/2 | 1.00 | infobox |
| Agrep | Operating system | MS-DOS | 1.00 | infobox |
| Agrep | Operating system | Windows | 1.00 | infobox |
| Agrep | Release | 1988; 38 years ago (1988) | 1.00 | infobox |
| Agrep | Repository | github.com/Wikinaut/agrep | 1.00 | infobox |
| Agrep | Stable release | 3.41.5 | 1.00 | infobox |
| Agrep | Type | Pattern matching | 1.00 | infobox |
| Agrep | Website | www.tgries.de/agrep | 1.00 | infobox |
| Agrep | Written in | C | 1.00 | infobox |
| Agrep | is a | command-line tool provided with the TRE regular expression library | 0.90 | 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.