We've compiled a list of 29 free and paid alternatives to SOFA Statistics. The primary competitors include R (programming language), RStudio. In addition to these, users also draw comparisons between SOFA Statistics and Minitab, IBM SPSS Statistics, Stata. Also you can look at other similar options here: About.
We've compiled a list of 29 free and paid alternatives to SOFA Statistics. The primary competitors include R (programming language), RStudio. In addition to these, users also draw comparisons between SOFA Statistics and Minitab, IBM SPSS Statistics, Stata. Also you can look at other similar options here: About.
Minitab, a robust statistical package, empowers users with diverse analyses: from descriptive stats, hypothesis tests, and regression analysis to ANOVA. Ideal for quality control, it enhances process quality through effective statistical methods.
IBM SPSS Statistics is a statistical data analysis software developed by IBM. It is used to process and analyze statistical data in various fields such as research, business, science, and social sciences.
Stata is a software product for statistical data analysis. It is widely used in research, social sciences, economics, and other fields. Stata allows you performin a variety of statistical analyses, including regression models, hypothesis testing, ti…
EViews, a software for statistical analysis and econometric modeling, is widely employed in financial research, economic analysis, and forecasting. Tailored for economic and financial data, it features a user-friendly interface and utilizes diverse …
SOFA Statistics is an open-source statistical package, with an emphasis on ease of use, learn as...
SOFA Statistics is an open-source statistical package, with an emphasis on ease of use, learn as...
SOFA Statistics Platforms
Windows
Linux
Mac
SOFA Statistics Video and Screenshots
SOFA Statistics Overview
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, SQLite, MS Access, and MS SQL Server. Data can also be imported from CSV or MS Excel files. The main statistical tests available are Independent and Paired t-tests, Wilcoxon signed ranks, Mann–Whitney U, Pearsons chi square, Kruskal Wallis H, one-way ANOVA, Spearmans R, and Pearsons R. Nested tables can be produced with row and column percentages, totals, sd, mean, median, and sum.
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.