There are many alternatives to Graph for Windows and since it's discontinued a lot of people are looking for a replacement. The best Windows alternative 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 many of them are available for Windows so hopefully you can find a suitable replacement. Other interesting Windows alternatives to Graph are SageMath, Matplotlib, GeoGebra and GnuPlot.
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.
SageMath is a free open-source mathematics software system licensed under the GPL. It builds on top of many existing open-source packages: NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, R and many more.
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible.
GeoGebra is free and multi-platform dynamic mathematics software for learning and teaching. It has received several educational software awards in Europe and the USA.
Gnuplot is a portable command-line driven interactive data and function plotting utility. It was originally intended as to allow scientists and students to visualize mathematical functions and data. It does this job pretty well, but has grown to support many non-interactive...
LabPlot is a free, open source and cross-platform Data Visualization and Analysis software accessible to everyone and trusted by professionals.
Data analysis and graphing software for scientists and engineers. It provides You with dozens of functionalities and options. The plotting engine is very effective and the plots are of high quality. A lot of statistical functionalities make data analysis very easy even for those...
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.
SciDAVis is a free application for Scientific Data Analysis and Visualization. It's an application aimed at data analysis and
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.
Python(x,y) is a free scientific and engineering development software for numerical computations, data analysis and data visualization based on Python programming language, Qt graphical user interfaces and .
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