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SciDAVis (Scientific Data Analysis and Visualization) is an open-source cross-platform computer program for interactive scientific graphing and data analysis. Development started in 2007 as fork of QtiPlot, which in turn is a clone of the proprietary program Origin.
History, Art & Science
Explore the main themes, entities and connections around SciDAVis. 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.
data analysis release project program windows fork qtiplot franke code open-source cross-platform python plots scientific graphing development 2007 tilman benkert
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| SciDAVis | As of | 9 January 2021 | 1.00 | infobox |
| SciDAVis | Available in | 11 languages | 1.00 | infobox |
| SciDAVis | Developers | Miquel Garriga, Arun Narayanankutty, Dmitriy Pozitron, Russell Standish | 1.00 | infobox |
| SciDAVis | License | GNU GPLv2 | 1.00 | infobox |
| SciDAVis | Operating system | Microsoft Windows, OS X, Linux | 1.00 | infobox |
| SciDAVis | Original authors | Tilman Benkert, Knut Franke | 1.00 | infobox |
| SciDAVis | Platform | x86, AMD64 | 1.00 | infobox |
| SciDAVis | Release | 5 August 2007; 19 years ago (2007-08-05) | 1.00 | infobox |
| SciDAVis | Repository | https://github.com/SciDAVis/scidavis | 1.00 | infobox |
| SciDAVis | Size | 42.9 MB (Windows), 86.3 MB (Mac), 9.8 MB (Source code) | 1.00 | infobox |
| SciDAVis | Stable release | 2.9.2 / 16 April 2022; 4 years ago (2022-04-16) | 1.00 | infobox |
| SciDAVis | Type | Data analysis and plotting | 1.00 | infobox |
| SciDAVis | Website | scidavis.sourceforge.net | 1.00 | infobox |
| SciDAVis | Written in | C++, Python | 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.