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Reason, also known as ReasonML, is a programming language and toolchain that is part of the OCaml programming language ecosystem. Reason uses many syntax elements from JavaScript, compiles to native code using OCaml's compiler toolchain, and can compile to JavaScript using the Melange compiler.
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Explore the main themes, entities and connections around Reason (programming language). Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. 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.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Reason (programming language) | Designed by | Jordan Walke | 1.00 | infobox |
| Reason (programming language) | Family | ML: Caml: OCaml | 1.00 | infobox |
| Reason (programming language) | Filename extensions | .re, .rei | 1.00 | infobox |
| Reason (programming language) | First appeared | May 16, 2016; 10 years ago (2016-05-16) | 1.00 | infobox |
| Reason (programming language) | License | MIT | 1.00 | infobox |
| Reason (programming language) | Paradigms | Multi-paradigm: functional, imperative, modular, object-oriented | 1.00 | infobox |
| Reason (programming language) | Stable release | 3.18.0 / June 23, 2026; 2 months ago (June 23, 2026) | 1.00 | infobox |
| Reason (programming language) | Website | reasonml.github.io | 1.00 | infobox |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.