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Raphaël, named for Italian painter Raffaello Sanzio da Urbino, is a cross-browser JavaScript library that draws vector graphics for web sites. It will use SVG for most browsers, but will use VML for older versions of Internet Explorer. Raphaël currently supports Chrome 5.0+ Firefox 3.0+, Safari 3.0+, Opera 9.5+ and Internet Explorer 6.0+.
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Explore the main themes, entities and connections around Raphaël (JavaScript library). 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.
raphaël javascript vector library internet explorer use svg graphics web also object raphael com cross-browser vml chrome firefox safari opera
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Raphaël (JavaScript library) | Developer | Dmitry Baranovskiy | 1.00 | infobox |
| Raphaël (JavaScript library) | License | MIT License | 1.00 | infobox |
| Raphaël (JavaScript library) | Release | August 8, 2008; 18 years ago (2008-08-08) | 1.00 | infobox |
| Raphaël (JavaScript library) | Repository | github.com/DmitryBaranovskiy/raphael | 1.00 | infobox |
| Raphaël (JavaScript library) | Stable release | 2.3.0 / August 14, 2019; 7 years ago (2019-08-14) | 1.00 | infobox |
| Raphaël (JavaScript library) | Website | dmitrybaranovskiy.github.io/raphael/ | 1.00 | infobox |
| Raphaël (JavaScript library) | Written in | JavaScript | 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.