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The program can be used both interactively and in batch mode using scripts. [5] gnuplot can read data in multiple formats, including ability to read data on the fly generated by other programs , create multiple plots on one image, do 2D, 3D, contour plots, parametric equations, supports various linear and non-linear coordinate systems ...
Integrated data analysis graphing software for science and engineering. Flexible multi-layer graphing framework. 2D, 3D and statistical graph types. Built-in digitizing tool. Analysis with auto recalculation and report generation. Built-in scripting and programming languages. Perl Data Language: Karl Glazebrook 1996 c. 1997 2.080 28 May 2022: Free
Generates a ranked list of several plots & visualizations based on an analysis of the data provided, allowing the user to choose their favorite graphic, share it, and export it as an image. DataGraph: GUI, command line: Proprietary: No 2006: February 17, 2020 / 4.5.1: macOS: 2D graphing, animations, data analysis, linear and non-linear curve ...
It supports many binary instrument data formats and has its own vectorized programming language. IGOR Pro, a software package with emphasis on time series, image analysis, and curve fitting. It comes with its own programming language and can be used interactively. LabPlot is a data analysis and visualization application built on the KDE Platform.
ALGLIB is an open source numerical analysis library with C# version. Dual licensed: GPLv2+, commercial license. ILNumerics.Net Commercial high performance, typesafe numerical array classes and functions for general math, FFT and linear algebra, aims .NET/mono, 32&64 bit, script-like syntax in C#, 2D & 3D plot controls, efficient memory management.
QtiPlot is a cross-platform computer program for interactive scientific graphing and data analysis. It is similar to Origin or SigmaPlot. QtiPlot can be used to present 2D and 3D data and has various data analysis functions like curve fitting. Plotting of 3D data can be rendered using OpenGL using the Qwt3D libraries.
Symbolic data analysis (SDA) is an extension of standard data analysis where symbolic data tables are used as input and symbolic objects are made output as a result. The data units are called symbolic since they are more complex than standard ones, as they not only contain values or categories, but also include internal variation and structure.
^ via SymPy ^ via qepcad optional package Those which do not "edit equations" may have a GUI, plotting, ASCII graphic formulae and math font printing. The ability to generate plaintext files is also a sought-after feature because it allows a work to be understood by people who do not have a computer algebra system installed.