Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Fruit is a chess engine developed by Fabien Letouzey. In the SSDF rating list released on November 24, 2006, Fruit version 2.2.1 had a rating of 2842. In the CEGT rating list released on January 24, 2007, Fruit version 2.2.1 had a rating of 2776.
History, Technical details of Fruit 2.1 & Derivatives
Explore the main themes, entities and connections around Fruit (software). 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.
fruit chess toga ii version fabien letouzey released engine gnu development gambitfruit rating rybka computer free source 2007 list 24
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Fruit (software) | Final release | 2.3.1 / August 2, 2007; 19 years ago (2007-08-02) | 1.00 | infobox |
| Fruit (software) | License | proprietary freeware (after v2.1) GNU General Public License (until v2.1) | 1.00 | infobox |
| Fruit (software) | Original author | Fabien Letouzey | 1.00 | infobox |
| Fruit (software) | Release | March 17, 2004; 22 years ago (2004-03-17) | 1.00 | infobox |
| Fruit (software) | Type | Chess engine | 1.00 | infobox |
| Fruit (software) | Website | www.fruitchess.com | 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.