SciDAVis is a free application for Scientific Data Analysis and Visualization. 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 scriptability and extensibility.
SciDAVis runs on GNU/Linux, Windows and MacOS X; possibly also on other platforms like *BSD, although this is untested.
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.
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Here are some key features of "SciDAVis":
· Tables, Matrices, Graphs and Notes are gathered in a Project and can be organized using folders.
· Tables for entering data directly or importing from ASCII files.
· Column-based computations using standard and special functions (and much more if you have Python installed).
· 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 in a variety of formats, including symbols/lines, bars and pie charts.
· Interactive 3D plots with export to a variety of formats, including EPS and PDF.
· Note windows with support for in-place evaluation of mathematical expressions. With Python installed, you can even access other objects in the project, e.g. for rapidly writing an import filter for a custom data format.
What's New in This Release: [ read full changelog ]
· some parts of the Python API have been marked as deprecated and generate
· warnings when used. This may be a bit unusual for a bugfix release; on the
· other hand, they won't be removed any time soon and inserting the
· deprecation warnings now will give everyone as much time as possible for
· getting accustomed to the API we're moving towards.
· Most prominently,
· Table.cell(column,row) and
· Table.setCell(column,row,value)
· are deprecated in favour of
· Table.column(column 1).valueAt(row 1) and
· Table.column(column 1).setValueAt(row 1, value)
· (note that the column/row INDICES DIFFER BY ONE!); the same goes for
· Table.text(c,r) -> Table.column(c 1).textAt(r 1) and
· Table.setText(c,r,text) -> Table.column(c 1).setTextAt(r 1,text).
· This serves multiple purposes. It simplifies the interfaces by grouping all
· functionality specific to a certain column in the Column class; it allows
· column objects to be stored and passed around; and it moves from the
· unconventional 1-based indexing to the more conventional 0-based indexing.
· Future additions to the API will increasingly make use of the columns-as
· objects paradigm.
· lots of bugfixes, again including crashes
· fixed compatibility issues with Qt 4.6 and SIP 4.9
· performance improvements
· substantially improved support for plots involving date/time data
· added two Czech translations: a default one by Pavel Fric (feedback
· requested via http://fripohled.blogspot.com) and an alternative one by Jan
· Helebrant
· updated Spanish translation, thanks to Mauricio Troviano; Brazilian
· Portuguese translation, thanksto Fellype do Nascimento; and German
· translation
· fixed and extended many parts of the API for Python scripts, including the
· new methods
· Layer.pickPoint()
· MDIWindow.clone()
· Folder.save(filename)
· newGraph(string)
· Layer.printDialog()
· Graph.printDialog()
· Layer.setRightTitle(string)
· Layer.setTopTitle(string)
· Layer.grid() # => returns an instance of the new class Grid
· Layer.insertFunctionCurve(formula,from=0,to=1,points=100,title="")
· Layer.insertPolarCurve(radial_formula,angular_formula,from=0,to=2*pi,parameter="t",points=100,title="")
· Layer.insertParametricCurve(x_formal,y_formula,from=0,to=1,parameter="t",points=100,title="")
· Matrix.recalculate()
· the constants QwtPlot.yLeft, QwtPlot.yRight, QwtPlot.xBottom, QwtPlot.xTop
· for specifying axes and the Grid class
· multiple graphs can have active tools simultaneously
· based on user feedback, the default behaviour when importing ASCII files has
· been changed to interpret the data as numeric (only applies to fresh
· installations of SciDAVis)
· automatic resizing of table rows for multi-line cells intentionally dropped,
· because this seems to be rarely needed and has a huge impact on performance
· for large tables
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