![]() ![]() for rapidly writing an import filter for a custom data format. ![]() With Python installed, you can even access other objects in the project, e.g. Note windows with support for in-place evaluation of mathematical expressions. Interactive 3D plots with export to a variety of formats, including EPS and PDF. 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). Extensive support for fitting linear and nonlinear functions to the data, including multi-peak fitting. Many built-in analysis operations like column/row statistics, (de)convolution, FFT and FFT-based filters. ![]() Multi-level undo/redo for tables and matrices. ![]() Each table cell can be assigned an individual formula. Cell values in tables can be computed using standard and special functions (and much more if you have Python installed). Data for tables or matrices can be entered directly or imported from ASCII files. 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. SciDAVis is compatible with the following operating systems: Linux, Mac, Windows. SciDAVis is similar in its field of application to proprietary Windows applications like Origin and SigmaPlot as well as free applications like QtiPlot, Labplot and Gnuplot. SciDAVis - SciDAVis is a user-friendly data analysis and visualization. SciDAVis runs on GNU/Linux, Windows and MacOS X possibly also on other platforms like *BSD, although this is untested. It combines a shallow learning curve and an intuitive, easy-to-use graphical user interface with powerful features such as scriptability and extensibility. SciDAVis is a free interactive application aimed at data analysis and publication-quality plotting. 'LabPlot and SciDAVis Collaborate on the Future of Free Scientific Plotting'. ^ a b 'global credits in about file', SciDAVis,, retrieved Download SciDAVis - SciDAVis is a user-friendly data analysis and visualization program primarily aimed at high-quality plotting of scientific data.After stalled development for several years, updates to SciDAVis have resumed. This never actually happened, and 10 years later both continue to be separate parallel projects without any kind of (at least publicly available) collaboration, joint agreement or declaration/proposal, code merging, not any other way of cooperation or joint efforts. In 2008, developers of SciDAVis and LabPlot 'found their project goals to be very similar' and 'decided to start a close cooperation' with the aim of merging their code into a common backend, while maintaining 'two frontends, one with full KDE4 integration (called LabPlot 2.x) and one with no KDE dependencies (pure Qt so to say) for easier cross-platform use (called SciDAVis)'. The GUI of the application uses the Qt toolkit. Note windows support in-place evaluation of mathematical expressions or an optional scripting interface to Python. The plots can be exported to several bitmap formats, PDF, EPS or SVG. Curve fitting can be performed with user-defined or built-in linear and nonlinear functions, including multi-peak fitting, based on the GNU Scientific Library. The built-in analysis operations include column/row statistics, (de)convolution, FFT and FFT-based filters. The spreadsheets, as well as graphs and note windows, are gathered in a project and can be organized using folders. The data is held in spreadsheets, which are referred to as tables with column-based data (typically X and Y values for 2D plots) or matrices (for 3D plots). SciDAVis can generate different types of 2D and 3D plots (such as line, scatter, bar, pie, and surface plots) from data that is either imported from ASCII files, entered by hand, or calculated using formulas. ![]()
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