GNU PSPP is a program for statistical data analysis. PSPP is primarily designed for statisticians, sociologists, and students requiring quick and convenient analysis of data samples. The PSPP interface is user-friendly and at the same time very similar to the SPSS system. PSPP is a stable and reliable application.

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PSPP has no limitations regarding the number of cases or variables that can be used in the analysis. The basic license does not require the purchase of additional packages for "advanced" features. All the functionality below is included in one PSPP package.

Functionality:

• Descriptive statistics,
• t-Student tests,
• Analysis of variance (ANOVA),
• Linear and logistic regression analysis,
• Cluster analysis,
• Factor analysis and reliability, as well as nonparametric tests.

Additionally:

• Support for over 1 billion cases,
• Support for over 1 billion variables,
• Command-line and data files compatible with those used in SPSS,
• Option to choose between command-line or graphical user interface,
• Data sources: flat files (CSV), PostScript, PDF, OpenDocument, or HTML,
• Interoperability with Gnumeric, LibreOffice, OpenOffice.Org, and other free software,
• Easy importing of data from spreadsheets, text files, and database sources,
• Ability to open, analyze, and edit two or more data sets simultaneously,
• Merging or appending data from different sources,
• User interface support for all popular character sets,
• Fast statistical procedures, even on very large data sets,
• No licensing fees,
• No expiration period,
• No unethical "end-user license agreements",
• Fully indexed user manual,
• Freedom assured: Licensed under GPLv3 or later,
• Portability: works on many different computers and different operating systems (GNU or GNU/Linux – Windows).

Compatibility: PSPP is designed to perform analysis in the fastest possible way, regardless of the volume of input data.

Automation of management processes: Using the command language (Syntax), we can easily automate a series of repetitive analytical processes.