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SciDAVis

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

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Research this topic

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.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Features

7 related topics

History

1 related topics

Overview

8 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

As of
9 January 2021
Available in
11 languages
Developers
Miquel Garriga, Arun Narayanankutty, Dmitriy Pozitron, Russell Standish
License
GNU GPLv2
Operating system
Microsoft Windows, OS X, Linux
Original authors
Tilman Benkert, Knut Franke

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Features

History

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

SciDAVis

Nodes20
Edges19
Triples39
Avg. degree1.9
Density0.1
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

SciDAVis

Top relations

related to Features · 13
SciDAVis → ASCII, Curve, EPS, FFT, FFT-based, GNU Scientific Library, Note, PDF, Python, Qt, SVG, The, The GUI
related to history · 12
SciDAVis → After, Franke, In, Ion Vasilief, KDE, KDE4, Knut Franke, LabPlot, Qt, QtiPlot, This, Tilman Benkert
As of · 1
SciDAVis → 9 January 2021
Available in · 1
SciDAVis → 11 languages
Developers · 1
SciDAVis → Miquel Garriga, Arun Narayanankutty, Dmitriy Pozitron, Russell Standish
License · 1
SciDAVis → GNU GPLv2
Operating system · 1
SciDAVis → Microsoft Windows, OS X, Linux
Original authors · 1
SciDAVis → Tilman Benkert, Knut Franke
Platform · 1
SciDAVis → x86, AMD64
Release · 1
SciDAVis → 5 August 2007; 19 years ago (2007-08-05)

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data analysis release project program windows fork qtiplot franke code open-source cross-platform python plots scientific graphing development 2007 tilman benkert

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
SciDAVisAs of9 January 20211.00infobox
SciDAVisAvailable in11 languages1.00infobox
SciDAVisDevelopersMiquel Garriga, Arun Narayanankutty, Dmitriy Pozitron, Russell Standish1.00infobox
SciDAVisLicenseGNU GPLv21.00infobox
SciDAVisOperating systemMicrosoft Windows, OS X, Linux1.00infobox
SciDAVisOriginal authorsTilman Benkert, Knut Franke1.00infobox
SciDAVisPlatformx86, AMD641.00infobox
SciDAVisRelease5 August 2007; 19 years ago (2007-08-05)1.00infobox
SciDAVisRepositoryhttps://github.com/SciDAVis/scidavis1.00infobox
SciDAVisSize42.9 MB (Windows), 86.3 MB (Mac), 9.8 MB (Source code)1.00infobox
SciDAVisStable release2.9.2 / 16 April 2022; 4 years ago (2022-04-16)1.00infobox
SciDAVisTypeData analysis and plotting1.00infobox
SciDAVisWebsitescidavis.sourceforge.net1.00infobox
SciDAVisWritten inC++, Python1.00infobox

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
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