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OCaml (/oʊˈkæməl/ oh-KAM-əl, formerly Objective Caml) is a general-purpose, high-level, multi-paradigm programming language which extends the Caml dialect of ML with object-oriented features. OCaml was created in 1996 by Xavier Leroy, Jérôme Vouillon, Damien Doligez, Didier Rémy, Ascánder Suárez, and others.
The analysis highlights History, Applications and Standards as prominent areas in the source structure around OCaml.
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 OCaml shows recurring relationship patterns in the source. For example, OCaml → Alt-Ergo, Astrée, Coq, EDonkey, Facebook, Facebook Messenger, FFTW, Fourier, Frama-C, GeneWeb, HOL Light, JavaScript, Liquidsoap, MirageOS, MLdonkey, Opa, Owl Scientific Computing, PHP, Reason, ReScript Another extracted example is OCaml → As, Between, British, CAM, Computable Functions, Computer Science, Edinburgh's Laboratory, Foundations, Guy Cousineau, In, INRIA's Formel, LCF, Lisp, Logic, Luca Cardelli, Milner, ML, Oxford, Paris Diderot University, Pierre-Louis Curien. 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.
language compiler caml code programming languages system function ml static type bytecode program use functional implementation first example libraries runtime
TTTA extracted 174 structured relationships around OCaml. Examples in this analysis include OCaml → Designed by → Xavier Leroy, Jérôme Vouillon, Damien Doligez, Didier Rémy, Ascánder Suárez and OCaml → Developer → Inria. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| OCaml | Designed by | Xavier Leroy, Jérôme Vouillon, Damien Doligez, Didier Rémy, Ascánder Suárez | 1.00 | infobox |
| OCaml | Developer | Inria | 1.00 | infobox |
| OCaml | Family | ML: Caml | 1.00 | infobox |
| OCaml | Filename extensions | .ml, .mli | 1.00 | infobox |
| OCaml | First appeared | 1996; 30 years ago (1996) | 1.00 | infobox |
| OCaml | Implementation language | OCaml, C | 1.00 | infobox |
| OCaml | License | LGPLv2.1 | 1.00 | infobox |
| OCaml | OS | Cross-platform: Linux, Unix, macOS, Windows | 1.00 | infobox |
| OCaml | Paradigms | Multi-paradigm: functional, imperative, modular, object-oriented | 1.00 | infobox |
| OCaml | Platform | IA-32, x86-64, Power, SPARC, ARM 32-64, RISC-V | 1.00 | infobox |
| OCaml | Stable release | 5.5.0 / 19 June 2026; 2 months ago (19 June 2026) | 1.00 | infobox |
| OCaml | Typing discipline | Inferred, static, strong, structural | 1.00 | infobox |
| OCaml | Website | ocaml.org | 1.00 | infobox |
| OCaml | is a | free and open-source software project managed and principally maintained by the French Institute for Research in Computer Science and Automation | 0.90 | text |
The concept neighborhoods around OCaml bring nearby vocabulary together. In this analysis, examples include Language, Code and Compiler. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For OCaml, one of the stronger structural bridges in this analysis connects OCaml with Software written in OCaml. 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 OCaml to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications & Standards, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — OCaml · EN edition · Analysis: TopicsToTalkAbout