SciDAVis is a free interactive 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 Python scriptability and extensibility.
SciDAVis is a dynamic tool, the plots created from data sets and the spreadsheets owing the data are inter-conected. When the spreadsheets are modified, all the objects in the depending plots (curves, axes scales, legends) are automatically updated. For example, deleting a spreadsheet or only some columns will automatically remove all the corresponding curves from the depending plots.
The SciDAVis project started as a fork of QtiPlot with the aim of introducing some changes in design as well as project structure.
Key Features
- Tables (2D data), matrices (3D data), graphs (2D or 3D plots) and notes (text notes or scripts) are gathered in a Project and can be organized using folders.
- Data for tables or matrices can be entered directly or imported from ASCII files.
- Cell values in tables can be computed using standard and special functions (and much more if you have Python installed). Each table cell can be assigned an individual formula.
- Multi-level undo/redo for tables and matrices.
- Many built-in analysis operations like column/row statistics, (de)convolution, FFT and FFT-based filters.
- Extensive support for fitting linear and nonlinear functions to the data, including multi-peak fitting.
- Publication-quality 2D plots of various types including symbols/lines, bars and pie charts which can be exported to a variety of formats (JPG, PNG, EPS, PDF, SVG and more).
- Interactive 3D plots with export to a variety of formats, including EPS and PDF.
- Internationalization support.
- Cross-platform support – runs under Linux, Mac OS X, and Windows.
SciDAVis uses code from QtiPlot.
Website: scidavis.sourceforge.net
Support: Handbook, SciDAVis, Mailing Lists, GitHub Code Repository
Developer: Tilman Benkert, Knut Franke, gbm19, Arun Narayanankutty, Russell Standish and many contributors
License: GNU General Public License version 2 or any later version
SciDAVis is written in C++. Learn C++ with our recommended free books and free tutorials.
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Read our verdict in the software roundup.
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