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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.
The analysis highlights Overview and Alternative implementations as prominent areas in the source structure around Agrep.
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 Agrep shows recurring relationship patterns in the source. For example, Agrep → BSD-like, FREJ, Fuzzy Regular Expressions, However, It, Java, TRE, Unicode, Unlike, Unlike Wu-Manber, Wu-Manber Another extracted example is Agrep → Makefile, Oline, OSX, See, To, Unix, Wno-return-typeto, Wu-Manber. 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.
tre matching manber string also license ms-dos windows program udi sun wu 1988 operating system os isc open-source unix regular
TTTA extracted 33 structured relationships around Agrep. Examples in this analysis include Agrep → Developers → Udi Manber and Agrep → Developers → Sun Wu. The table shows each extracted connection, where it came from and its confidence.
| 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 |
The concept neighborhoods around Agrep bring nearby vocabulary together. In this analysis, examples include Tre, License and Manber. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Agrep, one of the stronger structural bridges in this analysis connects Agrep with Overview. 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 Agrep to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview & Alternative implementations, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Agrep · EN edition · Analysis: TopicsToTalkAbout