SOFA Statistics

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SOFA Statistics (Statistics Open For All) is a free, open-source statistical analysis program designed to make common statistical methods accessible through a graphical user interface. Written in Python and using SciPy for statistical calculations, it can import data from spreadsheets and CSV/TSV files and connect directly to databases such as MySQL, PostgreSQL, SQLite, Microsoft Access, and SQL Server. It supports widely used analyses including independent and paired $t$-tests, Mann–Whitney U, Wilcoxon signed-rank tests, chi-squared tests, Kruskal–Wallis tests, one-way ANOVA, and Pearson and Spearman correlations. It can also create descriptive tables containing means, medians, quartiles, standard deviations, totals, and percentages.

A major goal of SOFA Statistics is ease of use: its workflow helps users choose appropriate basic statistical tests and specify which variables to analyse, making it particularly suitable for students, educators, researchers, and users who do not want to work primarily through programming. Its statistical capabilities are more limited than those of comprehensive environments such as R, but research comparing menu-driven statistical packages found that SOFA produced broadly comparable results for common calculations such as frequencies, means, correlations, and regression. The software is cross-platform, distributed under the AGPL open-source licence, and its name reflects its aim of making statistical analysis "open for all.

SOFA