Discover Windows Softwares to Data Analysis.
Analyze and manipulate datasets using powerful tools like pandas and SciPy's statistical functions.
QtiPlot is a versatile and cross-platform application designed for scientific data analysis and high-quality data visualization. It offers an intuitive graphical interface for creating various types of plots and powerful tools for curve fitting, data manipulation, and scripting.
Python(x,y) is a comprehensive, free and open-source development environment for scientific and engineering tasks using Python. It bundles numerous libraries and tools for numerical computation, data analysis, visualization, and more, making it a powerful alternative to commercial software.
Maple is a powerful mathematical computing environment and multi-paradigm programming language designed for engineers, scientists, educators, and students. It provides a comprehensive suite of tools for symbolic and numeric computation, data analysis, visualization, and application development across numerous domains.