SOFA Statistics is an open-source statistical package, with an emphasis on ease of use, learn as you go, and beautiful output. The name stands for Statistics Open For All. It has a graphical user interface and can connect directly to MySQL, PostgreSQL, SQLite, MS Access (mdb), Microsoft SQL Server, and CUBRID. Data can also be imported from CSV and Tab-Separated files or spreadsheets (Microsoft Excel, OpenOffice.org Calc, Gnumeric, Google Docs). The main statistical tests available are Independent and Paired t-tests, Wilcoxon signed ranks, Mann–Whitney U, Pearson’s chi squared, Kruskal Wallis H, one-way ANOVA, Spearman’s R, and Pearson’s R. Nested tables can be produced with row and column percentages, totals, sd, mean, median, lower and upper quartiles, and sum. Simple but dynamic bar charts (freq or means), clustered bar charts (freq or means), pie charts, single or multiple line charts (freq or means), area charts (freq or means), histograms, scatterplots, and box and whisker plots are available. It is also possible to create chart series.
Installation packages are available for several Operating Systems such as Microsoft Windows, Ubuntu,ArchLinux, Linux Mint, and Mac OS X (Leopard upwards).
SOFA Statistics is written in Python, and the widget toolkit used is wxPython. The statistical analyses are based on functions available through the Scipy stats module. Analysis and reporting can be automated using Python scripts – either exported directly from SOFA Statistics or manually written.