The best Statistical Analyzer alternative to Graph is R (programming language), which is both free and Open Source. If that doesn't suit you, our users have ranked more than 25 alternatives to Graph and six of them are Statistical Analyzers so hopefully you can find a suitable replacement. Other interesting Statistical Analyzer alternatives to Graph are LabPlot, IBM SPSS Statistics, NumeRe and Minitab.
R is a free software environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be consider.
LabPlot is a free, open source and cross-platform Data Visualization and Analysis software accessible to everyone and trusted by professionals.
The IBM SPSS software platform offers advanced statistical analysis, a vast library of machine-learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications.
Open source framework for numerical computations and advanced statistical analysis, featuring nonlinear curve fitting, ODE solving, 1D/2D publication-quality visualization, Fourier and wavelet transforms, intuitive syntax, and namespace-based code organization for research.
Minitab is a comprehensive statistical software package designed for analyzing data in Lean Six Sigma and statistics education, offering tools for quality and process improvement, making it ideal for various educational and professional uses.
Grapheme is an intuitive and powerful data visualization and analysis tool. Grapheme brings you advanced data analysis capabilities along with interactive plotting functionalities to enable exploring and understanding complex sets of data.
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