SOFA Statistics

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SOFA Statistics
Screenshot of SOFA Statistics
SOFA Statistics
Developer(s) Paton-Simpson & Associates Ltd
Stable release
1.4.6 / 2 January 2016; 2 years ago (2016-01-02)
Written in Python
Operating system Cross-platform
Type Statistical analysis
License AGPL

SOFA Statistics is an open-source statistical package. 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, 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.

Installation packages are available for several Operating Systems such as Microsoft Windows, Ubuntu, ArchLinux, Linux Mint, and macOS (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.

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