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ROBODoc

ROBODoc is a documentation tool similar to Javadoc and licensed under the GPL. It is used to extract API documentation from source code. It can be used with any language that supports comments and works by extracting specially formatted headers. These are then reformatted into HTML, DocBook, TROFF, ASCII, LaTeX, PDF, or RTF.

History & Overview

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around ROBODoc. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Overview

25 related topics

History

2 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer
Frans Slothouber
License
GNU General Public License
Operating system
Linux, Windows, Mac OS, Solaris
Release
1994 (1994)
Repository
github.com/gumpu/ROBODoc
Stable release
4.99.44 / January 29, 2021 (2021-01-29)

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

History

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

ROBODoc

Nodes30
Edges29
Triples22
Avg. degree1.93
Density0.066667
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

ROBODoc

Top relations

related to history · 8
ROBODoc → Amiga, Amigaguide, ASCII, Autodocs, Jacco, The, This, Weert
related to External links · 4
ROBODoc → Front-End, Gambas3, ROBODoc HomepageROBODoc, SourceForgeDocumentation
Developer · 1
ROBODoc → Frans Slothouber
License · 1
ROBODoc → GNU General Public License
Operating system · 1
ROBODoc → Linux, Windows, Mac OS, Solaris
Release · 1
ROBODoc → 1994 (1994)
Repository · 1
ROBODoc → github.com/gumpu/ROBODoc
Stable release · 1
ROBODoc → 4.99.44 / January 29, 2021 (2021-01-29)
Type · 1
ROBODoc → Documentation generator
Website · 1
ROBODoc → ROBODoc Homepage

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

documentation used html language supports comments works ascii output written generator homepage repository javadoc gpl api docbook troff latex pdf

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
ROBODocDeveloperFrans Slothouber1.00infobox
ROBODocLicenseGNU General Public License1.00infobox
ROBODocOperating systemLinux, Windows, Mac OS, Solaris1.00infobox
ROBODocRelease1994 (1994)1.00infobox
ROBODocRepositorygithub.com/gumpu/ROBODoc1.00infobox
ROBODocStable release4.99.44 / January 29, 2021 (2021-01-29)1.00infobox
ROBODocTypeDocumentation generator1.00infobox
ROBODocWebsiteROBODoc Homepage1.00infobox
ROBODocWritten inC1.00infobox
ROBODocis adocumentation tool similar to Javadoc and licensed under the GPL0.90text
ROBODocrelated to External linksROBODoc HomepageROBODoc0.60section
ROBODocrelated to External linksSourceForgeDocumentation0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.