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F* (pronounced F star) is a high-level, multi-paradigm, functional and object-oriented programming language inspired by the languages ML, Caml, and OCaml, and intended for program verification. It is a joint project of Microsoft Research, and the French Institute for Research in Computer Science and Automation (Inria). Its type system includes dependent…
The analysis highlights Science and Overview as prominent areas in the source structure around F* (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 F* (programming language) shows recurring relationship patterns in the source. For example, F* (programming language) → Nikhil Swamy, Juan Chen, Cédric Fournet, Pierre-Yves Strub, Karthikeyan Bhargavan, Jean Yang Another extracted example is F* (programming language) → Microsoft Research, Inria. 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.
ocaml functional programs types language programming dependent nikhil swamy operators multi-paradigm ml caml languages specifications translated inria versions github microsoft
TTTA extracted 12 structured relationships around F* (programming language). Examples in this analysis include F* (programming language) → Designed by → Nikhil Swamy, Juan Chen, Cédric Fournet, Pierre-Yves Strub, Karthikeyan Bhargavan, Jean Yang and F* (programming language) → Developers → Microsoft Research, Inria. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| F* (programming language) | Designed by | Nikhil Swamy, Juan Chen, Cédric Fournet, Pierre-Yves Strub, Karthikeyan Bhargavan, Jean Yang | 1.00 | infobox |
| F* (programming language) | Developers | Microsoft Research, Inria | 1.00 | infobox |
| F* (programming language) | Family | ML: Caml: OCaml | 1.00 | infobox |
| F* (programming language) | Filename extensions | .fst | 1.00 | infobox |
| F* (programming language) | First appeared | 2011; 15 years ago (2011) | 1.00 | infobox |
| F* (programming language) | Implementation language | F* | 1.00 | infobox |
| F* (programming language) | License | Apache 2.0 | 1.00 | infobox |
| F* (programming language) | OS | Cross-platform: Linux, macOS, Windows | 1.00 | infobox |
| F* (programming language) | Paradigm | Multi-paradigm: functional, imperative | 1.00 | infobox |
| F* (programming language) | Stable release | v2026.04.17 / 18 April 2026; 4 months ago (2026-04-18) | 1.00 | infobox |
| F* (programming language) | Typing discipline | dependent, inferred, static, strong | 1.00 | infobox |
| F* (programming language) | Website | fstar-lang.org | 1.00 | infobox |
The concept neighborhoods around F* (programming language) bring nearby vocabulary together. In this analysis, examples include Languages, Written and Bhargavan. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the F* (programming language) map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around F* (programming language) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Science & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — F* (programming language) · EN edition · Analysis: TopicsToTalkAbout