R, Python (programming language), SAS, SPSS, Stata, MATLAB, Julia, Jupyter Notebook, Apache Spark, Tableau, KNIME, Minitab, EViews, Statgraphics, PSPP, TIBCO Spotfire, Microsoft Excel, GNU Octave, Statista, The R Foundation, The American Statistical Associ

These tools and organizations are used for analyzing data and making decisions. R, Python, SAS, SPSS, Stata, MATLAB, Julia, and GNU Octave are programming languages or software for statistical analysis and data modeling. Jupyter Notebook is an environment to write and share data code easily. Apache Spark handles big data processing. Tableau, TIBCO Spotfire, and Microsoft Excel create visual reports. KNIME and Minitab support data workflows. EViews and Statgraphics are used in economics forecasting. PSPP is a free alternative to SPSS. Statista provides statistical data. The R Foundation supports R development, and the American Statistical Association promotes statistics as a science.