SOFA Statistics

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), and Microsoft SQL Server. 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.

SOFA Statistics
SOFA Statistics
Developer(s)Paton-Simpson & Associates Ltd
Stable release
1.5.3 / 20 October 2019 (2019-10-20)
Written inPython
Operating systemCross-platform
TypeStatistical analysis
LicenseAGPL
Websitewww.sofastatistics.com

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.[1]

See also

References
  1. "SOFA - Statistics Open For All". Linux Journal. 201: 40–41. January 2011.
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