SOFA Statistics – statistics, analysis, and reporting package

Statistics Open For All (SOFA) is a user-friendly, open source statistics, analysis, and reporting package. The goal is flexible input and beautiful output – i.e. lots of databases and spreadsheets supported, and attractive, ready-to-present output.

The software has an emphasis on ease-of-use.

SOFA can connect directly to MySQL, PostgreSQL, SQLite, MS Access, and Microsoft SQL Server.

Features include:

  • Helps users make the correct choice of test in a graphical, interactive way. SOFA will supply visual and numerical tests which let the user know if a test is suitable for the data they are working with:
  • Tests:
    • Row and column percentages, with the ability to nest variables e.g look at Ethnicity and Gender vs
    • Age.
    • Mean.
    • Median.
    • Lower Quartile.
    • Upper Quartile.
    • Standard Deviation.
    • Sum.
    • N items.
    • Min.
    • Max.
    • Range.
    • Pearson’s Chi-Square with Contingency Tables.
    • Independent samples t-test.
    • Paired samples t-test.
    • One-way ANOVA.
    • Mann Whitney U.
    • Wilcoxon Signed Ranks.
    • Kruskal Wallis H.
    • Pearson’s Correlation.
    • Spearman’s Correlation.
  • Charting:
    • Simple bar charts (freq or means).
    • Clustered bar charts (freq or means).
    • Pie charts.
    • Single and multiple line charts (freq or means).
    • Area charts (freq or means).
    • Histograms.
    • Scatterplots.
    • Box and whisker plots.
  • Automated reporting – export Python scripts.
  • Import data from Excel, Open Office Calc, Gnumeric, CSV, Google Docs Spreadsheets.
  • Export data into Excel format.
  • Supports the following databases (to import data): MySQL, Microsoft Access, SQLite, PostgreSQL, Microsoft SQL Server.
  • Internationalization support.

Support: User Guide
Developer: Grant Paton-Simpson
License: GNU Affero GPL v3


SOFA is written in Python. Learn Python with our recommended free books and free tutorials.

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