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FriCAS is a general purpose computer algebra system with a strong focus on mathematical research and development of new algorithms. It comprises an interpreter, a compiler and a still-growing library of more than 1,000 domains and categories.
The analysis highlights History, Overview and Examples as prominent areas in the source structure around FriCAS.
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 FriCAS shows recurring relationship patterns in the source. For example, FriCAS → API, Category, FriCAS HomepageFriCAS WikiSandBox, FriCAS Jupyter, GitHubRosetta, Jupyter Kernel, Related, Rosetta, Rosetta Stone, Source, SourceForge, SPADForum, Try FriCAS Another extracted example is FriCAS → Another, Bronstein, Risch, Trager. 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.
ibm research axiom aldor university common lisp source code bsd language spad computer algebra developed system similar compiling available platforms
TTTA extracted 30 structured relationships around FriCAS. Examples in this analysis include FriCAS → Developer → Waldek Hebisch + independent group of people and FriCAS → Filename extensions → .spad, .input, .as. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| FriCAS | Developer | Waldek Hebisch + independent group of people | 1.00 | infobox |
| FriCAS | Filename extensions | .spad, .input, .as | 1.00 | infobox |
| FriCAS | Implementation language | SPAD, Aldor, Boot, Common Lisp | 1.00 | infobox |
| FriCAS | License | Modified BSD License | 1.00 | infobox |
| FriCAS | OS | Cross-platform | 1.00 | infobox |
| FriCAS | Stable release | 1.3.13 / 5 March 2026; 5 months ago (2026-03-05) | 1.00 | infobox |
| FriCAS | Website | fricas.github.io | 1.00 | infobox |
| FriCAS | is a | general purpose computer algebra system with a strong focus on mathematical research and development of new algorithms | 0.90 | text |
| Linux | instance of | CL implementations are supported by fricas lisp code.FriCAS runs on many POSIX platforms | 0.80 | text |
| macOS | instance of | CL implementations are supported by fricas lisp code.FriCAS runs on many POSIX platforms | 0.80 | text |
| Unix | instance of | CL implementations are supported by fricas lisp code.FriCAS runs on many POSIX platforms | 0.80 | text |
| BSD as well as under Cygwin | instance of | CL implementations are supported by fricas lisp code.FriCAS runs on many POSIX platforms | 0.80 | text |
The concept neighborhoods around FriCAS bring nearby vocabulary together. In this analysis, examples include Code, Language and Spad. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For FriCAS, one of the stronger structural bridges in this analysis connects FriCAS 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 FriCAS to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Overview & Examples, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — FriCAS · EN edition · Analysis: TopicsToTalkAbout