SigmaPlot for Mac

Education   ›   Science

SigmaPlot for Mac by SYSTAT Software, Inc. is not yet available but, fortunately, there are many similar applications on the market that have the same capabilities. On this list of alternatives to SigmaPlot for Mac you can find the most relevant scientific data analysis and graphing software. These programs provide the right tools for statistical analysis and will allow you to create complex graphs and charts. Some of them will also help you manipulate matrices and implement algorithms.

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6 alternatives available for Maс
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SigmaPlot for Mac OS X: Best alternatives Compare SigmaPlot for Mac with best handpicked alternatives, rate them and add your own ones.

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MATLAB Free

by The MathWorks, Inc.

MATLAB is a high-level language and interactive environment that enables you to perform computationally intensive tasks faster than with traditional programming languages such as C, C++, and Fortran.

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DataGraph Free

by Visual Data Tools, Inc.

DataGraph can generate graphs and charts from the data supplied. Fortunately, you do not need to start from scratch as there is an extensive library of templates to choose from.

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Igor Pro Free

by Wavemetrics

IGOR Pro is an extraordinarily powerful and extensible graphing, data analysis, and programming tool for scientists and engineers.

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Statdisk Free

by statdisk.org

Statdisk Statdisk is a full featured statistical analysis package. It includes over 70 functions and tests, dozens of built-in datasets, and graphing.

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qtiplot Free

by Proindependent

QtiPlot is a cross platform data analysis and scientific visualisation solution. Thanks to its price defying all competition, QtiPlot is ideal for student computer labs and offers a complete alternative solution to extremely expensive proprietary...

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OxMetrics Free

by Timberlake Consultants Limited

OxMetrics™ is the name of a family of software packages providing an integrated solution for the econometric analysis of time series, forecasting, financial econometric modelling and for the statistical analysis of cross-section and panel data.

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