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Harbour is a computer programming language, used mainly to create database/business programs. It is a modernised cross-platform version of the older Clipper system, which in turn developed from the dBase database market of the 1980s and 1990s. It is free and open-source software which license is GNU General Public License (GPL) compatible.
The analysis highlights History, Syntax and semantics and Programming philosophy as prominent areas in the source structure around Harbour (programming language).
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 Harbour (programming language) shows recurring relationship patterns in the source. For example, Harbour (programming language) → Antonio Linares Another extracted example is Harbour (programming language) → Viktor Szakáts and community. 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.
harbour clipper value may variables expression xbase compiled code database language macro functions type function statement used including compiler syntax
TTTA extracted 23 structured relationships around Harbour (programming language). Examples in this analysis include Harbour (programming language) → Designed by → Antonio Linares and Harbour (programming language) → Developer → Viktor Szakáts and community. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Harbour (programming language) | Designed by | Antonio Linares | 1.00 | infobox |
| Harbour (programming language) | Developer | Viktor Szakáts and community | 1.00 | infobox |
| Harbour (programming language) | Family | xBase | 1.00 | infobox |
| Harbour (programming language) | Filename extensions | .prg, .ch, .hb, .hbp | 1.00 | infobox |
| Harbour (programming language) | First appeared | 1999; 27 years ago (1999) | 1.00 | infobox |
| Harbour (programming language) | License | Open-source GPL-compatible | 1.00 | infobox |
| Harbour (programming language) | OS | Cross-platform | 1.00 | infobox |
| Harbour (programming language) | Paradigm | multi-paradigm: imperative, functional, object-oriented, reflective | 1.00 | infobox |
| Harbour (programming language) | Preview release | 3.2.0dev | 1.00 | infobox |
| Harbour (programming language) | Stable release | 3.0.0 / 17 July 2011; 15 years ago (2011-07-17) | 1.00 | infobox |
| Harbour (programming language) | Typing discipline | Optionally duck, dynamic, safe, partly strong | 1.00 | infobox |
| Harbour (programming language) | Website | harbour.github.io | 1.00 | infobox |
The concept neighborhoods around Harbour (programming language) bring nearby vocabulary together. In this analysis, examples include Clipper, Language and Extensions. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Harbour (programming language), one of the stronger structural bridges in this analysis connects Harbour (programming language) 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 Harbour (programming language) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Syntax and semantics & Programming philosophy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Harbour (programming language) · EN edition · Analysis: TopicsToTalkAbout