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re2c is a free and open-source lexer generator for C, C++, D, Go, Haskell, Java, JavaScript, OCaml, Python, Rust, V and Zig. It compiles declarative regular expression specifications to deterministic finite automata. Originally written by Peter Bumbulis and described in his paper, re2c was put in public domain and has been since maintained by volunteers.…
The analysis highlights Features, Overview and Philosophy as prominent areas in the source structure around Re2c. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
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 Re2c shows recurring relationship patterns in the source. For example, Re2c → Additionally, ASCII, Besides, Data, Debugging, DFA, DOT, EBCDIC, Encoding, Flexible, Input, NFA, POSIX-compliant, Self-validation, Start, Storable, Submatch, TDFA, The, UCS-2 Another extracted example is Re2c → CODE, CONFIG, Configurations, Definitions, Each, Flex, For, REGEXP, Rules, There, VALUE, WhenREGEXPmatches. 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.
program code lexer generator input regular used dfa lexers generated example number interface rules expression implementation see also website peter
TTTA extracted 70 structured relationships around Re2c. Examples in this analysis include Re2c → License → Public domain and Re2c → Original author → Peter Bumbulis. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Re2c | License | Public domain | 1.00 | infobox |
| Re2c | Original author | Peter Bumbulis | 1.00 | infobox |
| Re2c | Release | around 1994; 32 years ago (1994) | 1.00 | infobox |
| Re2c | Repository | github.com/skvadrik/re2c | 1.00 | infobox |
| Re2c | Stable release | 4.3 / 30 June 2025 | 1.00 | infobox |
| Re2c | Type | Lexical analyzer generator | 1.00 | infobox |
| Re2c | Website | re2c.org | 1.00 | infobox |
| Re2c | is a | free and open-source lexer generator for C | 0.90 | text |
| PHP | instance of | It is the lexer generator adopted by projects | 0.80 | text |
| SpamAssassin | instance of | It is the lexer generator adopted by projects | 0.80 | text |
| Ninja build system | instance of | It is the lexer generator adopted by projects | 0.80 | text |
| others | instance of | It is the lexer generator adopted by projects | 0.80 | text |
The concept neighborhoods around Re2c bring nearby vocabulary together. In this analysis, examples include Program, Code and Lexers. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Re2c, one of the stronger structural bridges in this analysis connects Re2c 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 Re2c to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Features, Overview & Philosophy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Re2c · EN edition · Analysis: TopicsToTalkAbout