Welcome to TeraPlot
TeraPlot graphing software gives you everything you need to create publication quality graphs for science, engineering, business, and education.
At its core is the ability to create 2D and 3D plots based on either tabular data or mathematical expressions. In addition to these primary features,
a range of capabilities such as flexible data import, and the ability to create graphs with just a few mouse clicks via graph wizards, make TeraPlot
a highly effective graphing tool. TeraPlot also provides curve fitting features via linear and nonlinear regression, and data analysis plots
such as histograms and box plots. Read on for a more detailed overview..
Fully functional 30-Day Trial
TeraPlot is a Microsoft Windows desktop application (Windows XP, Vista, Windows 7, Windows 8). Download a free fully functional 30-day evaluation
copy of TeraPlot..
TeraPlot graphing software allows fully annotated, publication quality graphs to be created with just a few mouse clicks via Graph Wizards. With graph
wizards, graph creation is broken down into a set of input stages: plot choice, data input, plot parameter settings, and annotation
settings. Wizards are available for Excel-like series/category data, financial data, and XYZ point data. A graph created via a graph wizard
can be used as-is, or as a starting point for a more complex graph.
In addition to its 2D and 3D data graphing features, TeraPlot brings the power of scripting to mathematical function graphing software. Using VBScript,
plot definitions can range from something as simple as the single line y = sin(x), to complex multi-line function definitions containing
constants, variables and conditional expressions. Graphs of implicit functions can be easily created, and mathematical concepts explored in cartesian,
polar, and cylindrical coordinate systems.
Curve fitting capabilities are provided in the form of linear regression for various fitting functions, and also a more general multidimensional nonlinear
regression tool using the Levenberg-Marquardt method. In addition, data analysis features are provided
in the form of standard statistical analysis plots such as histograms (reporting Mean, Median, Variance, Standard Deviation, Skewness and Kurtosis),
box plots and probability plots. Standard statistical function plots are also available.