SciDAVis is a free application for Scientific Data Analysis and Visualization. It's an application aimed at data analysis and publication-quality plotting. It combines a shallow learning curve and an intuitive, easy-to-use graphical user interface with powerful features such as scriptability and extensibility. Homebrew’s package index.
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SciDAVis 0.2.4 Freeware
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About SciDAVis
SciDAVis is a user-friendly data analysis and visualization program primarily aimed at high-quality plotting of scientific data. It strives to combine an intuitive, easy-to-use graphical user interface with powerful...
SciDAVis is a user-friendly data analysis and visualization program primarily aimed at high-quality plotting of scientific data. It strives to combine an intuitive, easy-to-use graphical user interface with powerful features such as Python scriptability.
SciDAVis is a user-friendly data analysis and visualization program primarily aimed at high-quality plotting of scientific data. It strives to combine an intuitive, easy-to-use graphical user interface with powerful features such as Python scriptability.
Technical Details about SciDAVis
Category
Development
Development
Release Date
2010-06-22
2010-06-22
Publisher
scidavis.sf.net
scidavis.sf.net
Scidavis Manual Pdf
Previous Versions
Here you can find the changelog of SciDAVis since it was posted on our website on 2015-04-27 03:00:00.The latest version is 0.2.4 and it was updated on 2019-10-01 12:24:51. See below the changes in each version.Release Date: 2010-06-22
Release Date: 2010-06-22
Related Apps
Here you can find apps that are similar with SciDAVis.How To Use Scidavis
SciDAVis is a software for generating charts and data analysis based on QtiPlot project. The program has upgraded interface in comparison to the predecessor and allows:
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- generating 2D charts, bar and circle charts and 3D charts
- creating charts through manual point input or formulas
- exporting charts to EMF, EPS, PS, PDF, SVG, BMP, JPG, PNG, TIFF formats
- importing data from text files, dat and csv
- scripting with Python
- formatting the chart graphic
- performing function analysis (integration, derivation, translation)