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List of Top 28 Free Statistical Analysis Software 2023

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List of Top 25 Free Statistical Analysis Software 2023

What is Statistical Analysis Software?

As the name says that Statistical Analysis Software’s are a tool for the statistical analysis of raw data which you can use for free. Other than statistical analysis, these software can also be used for the interpretation and intuitive presentation of data.

Statistical analysis software are specialized computer programs which can help you to collect, organize, analyze, interpret and statistically design data for your research.


What are the Types of Statistical Analysis Software?

The best free statistical analysis software should be able to conduct the below statistical tests-

Co-Relational– It measures how strongly two variables are related to each other. A value of +1 indicates a strong association. As the value of the variable goes towards 0, it indicates a weaker association. Includes Pearson and Chi-Square tests
Non-Parametric– It uses a non-parametric test when the data does not have a normal distribution. Includes Wilcoxon Rank-Sum and Wilcoxon Sign Rank test
Regression– It consists of several tests for determining the relationship between a dependent variable and one and more independent variables. Simple and multiple tests
Comparison of Means– In this statistical test, you can compare the means of two or more samples or populations with the help of Paired & Independent T-tests.

Need for Statistical Analysis Software:

Businesses are constantly in search of statistics related to their fields. They need something concrete to rely on while taking informed business decisions. The scale at which businesses work today is quite large, and the data available is huge. It is not possible for managers or statisticians to analyze the data manually. A lot of data inaccuracies can creep in due to human errors.

Statistical software has features to combat the common statistical errors related to categorical data analysis. With categorical data, marketers may not find the relevant information required to make decisions. A bag manufacturing company classifies its products into various categories.-Hand Bags, backpacks, trolley bags, ladies purse, wallet, etc. This is an example of categorizing (discrete characteristics). The problem with categorical data is that there is no mathematical meaning to it. If the company checks the revenue bills and finds that out of all its products, 6 million trolley bags were returned by customers in two years out of the 30 million sold, it means, the company is using the continuous data (variables of measurement) to derive at this conclusion. Continuous data can be analyzed for statistical inferences. The statistical inference is that 20% of goods sold were returned.


How to use free statistical software after download?

We mention some of the important points you must keep in mind after download-

The free statistical software for data analysis can read data directly from an excel sheet. You can even enter the data manually into the software or use specialized data entry software.
The free statistical software for data analysis uses powerful algorithms to manipulate data and then find out a common pattern that can be used for making profitable business decisions.


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List of Top 20 Free Statistical Analysis Software Free

Here we are providing a list of 20 Best Free Statistical Analysis Programes that are widely used for mathmetics, computation, statistics, symbolic calculation, data analysis.


1.  Free SAS® University Edition

Free SAS® software for academic, noncommercial use. An interactive, online community. Superior training and documentation. And the analytical skills you need to secure your future.



GNU PSPP is a program for statistical analysis of sampled data. It is a free as in freedom replacement for the proprietary program SPSS, and appears very similar to it with a few exceptions.
PSPP is a stable and reliable application. It can perform descriptive statistics, T-tests, anova, linear and logistic regression, measures of association, cluster analysis, reliability and factor analysis, non-parametric tests and more.



Statistical software for fast and easy interpretation of experimental data in science and R&D in a technical environment. This statistical package helps with analysis and prevents making false assumptions. In short it makes statistics faster and easier, suitable for less experience users but advanced enough for more demanding users.


4. The Statistical Lab

The Statistical Lab is an explorative and interactive tool designed both to support education in statistics and provide a tool for the simulation and solution of statistical problems.

The graphical user interface is designed to make complex statistical relations easy to understand. It connects and displays data frames, frequency tables, random numbers or matrixes in a user-friendly statistical worksheet allowing users to run calculations, conduct analyses and perform multiple simulations and manipulations.


5. DataMelt

DataMelt is a free software for numeric computation, mathematics, statistics, symbolic calculations, data analysis and data visualization. This multiplatform program combines the simplicity of scripting languages, such as Python, Ruby, Groovy (and others), with the power of hundreds of Java packages.


6. GNU Octave

  • Powerful mathematics-oriented syntax with built-in 2D/3D plotting and visualization tools
  • Free software, runs on GNU/Linux, macOS, BSD, and Microsoft Windows
  • Drop-in compatible with many Matlab scripts

7. SOFA Statistics

SOFA is a user-friendly statistics, analysis, & reporting program. It is free, with an emphasis on ease of use, learn as you go, and beautiful output.

SOFA lets you display results in an attractive format ready to share. And SOFA will help you learn as you go.


8. Dataplot®

Dataplot® is a free, public-domain, multi-platform (Unix/Linux, MacOS, Windows 7/8/10) software system for scientific visualization, statistical analysis, and non-linear modeling. The target Dataplot user is the researcher and analyst engaged in the characterization, modeling, visualization, analysis, monitoring, and optimization of scientific and engineering processes.


9. SciPy 

SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. In particular, these are some of the core packages.


10. Zelig

Zelig is an easy-to-use, free, open source, general purpose statistics program for estimating, interpreting, and presenting results from any statistical method.


11. OpenStat

Free Statistics Programs, Sample Data, Tutorials, Statistics Book, User’s Manual, etc.


12. MacAnova

MacAnova is a free, open source, interactive statistical analysis program for Windows, Macintosh, and Linux written by Gary W. Oehlert and Christopher Bingham, both of the School of Statistics, University of Minnesota.


13. Salstat Statistics

Analysing statistics can be hard. We work at learning how to use a program when we should be analysing data. Salstat wants to change this.


14. Statcato

Statcato is a free Java software application developed for elementary statistical computations. Its features are tailored for introductory statistics students and instructors.


15. MicrOsiris

MicrOsiris is a comprehensive statistical and data management package for Windows (Comparison with SPSS and SAS). Derived from OSIRIS IV, a statistical and data management package developed and used at the University of Michigan, MicrOsiris includes special techniques for data mining (SEARCH) and analysis of nominal- and ordinalscaled data (MNA, MCA) and an interface to Michigan Survey Research Center’s missing values imputation variance estimation and regression software for complex sampling designs, IVEware (included with MicrOsiris).


16. Ploticus

Ploticus is a free GPL software utility that can produce various types of plots and graphs like shown here and here. Data input is usually csv files or text files such as used with sort, awk, etc. Output options are GIF, PNG, PostScript, SVG and some others. HTML imagemaps are supported. Ploticus can produce just-in-time plots in dynamic web content systems, or in batch production settings. It can be invoked from your command line, in shell scripts, via system() calls in web content environments and other programs.


17. ViSta 

ViSta construct very high interaction, dynamic graphics that show you multiple views of your data simultaneously. The graphics are designed to augment you visual institution so that you can better understand your data.


18. StatCVS 

The current version of StatCVS generates a static suite of HTML documents containing tables and chart images. StatCVS is open source software, released under the terms of the LGPL. StatCVS uses JFreeChart to generate charts.


19. InVivoStat

It is generally understood that appropriate statistical methods can help reduce sample sizes in animal experiments. These methods should be statistically powerful and make use of all the information gathered in a study. An informative analysis will allow the scientist to gain a better understanding of their processes and hence help them design more efficient studies in future.


20. Past

Complex application for analyzing scientific data in the form of statistics which draws graphs and plots with an interface similar to other spreadsheet software.


21. Gnumeric

Gnumeric is a free, fast, and accurate high-powered spreadsheet with better statistical features than Microsoft Excel. It has about 60 extra functions as compared to Excel, with basic support for financial derivatives including Black Scholes and telecommunication engineering related problem’s function, advanced statistical analysis tools, extensive random number generation techniques, linear and non-linear solvers, implicit intersection and iteration, goal seek, and Monte Carlo simulation tools.


22. WinIDAMS

WinIDAMS is free statistical software from UNESCO and Information processing tools, for numerical information processing and
statistical data analysis. WinIDAMS Provides data manipulation and validation facilities for classical and advanced statistical
techniques (table building, regression analysis, one-way analysis of variance, etc.), including interactive construction of multidimensional
tables, graphical exploration of data set such as 3D scattergram spinning, etc., time series analysis, and a large number REmultivariate.


23. RStudio

It integrates the comprehensive state-of-the-art statistical package R with a superb user interface, available both as desktop application and as a browser-based server application.


24. Regress+

It’s a free nonlinear estimation / curve fitting / modeling program for Macintosh Computers, developed by Michael P.McLaughlin. It has many built in deterministic and stochastic models and allows user defined models with up to 10 parameters.


25. AM Statistical Software

It’s a free software for analysing data from large-scale assessments. Developed by American Institutes for Research


26. SOFA statistics

SOFA is Open source user-friendly statistics, analysis, & reporting program. It is free, with an emphasis on ease of use, learn as you go, and beautiful output.

SOFA lets you display results in an attractive format ready to share. And SOFA will help you learn as you go.


27. Gretl

gretl is an open-source statistical package, mainly for econometrics. The name is an acronym for Gnu Regression, Econometrics and Time-series Library.

It has both a graphical user interface (GUI) and a command-line interface. It is written in C, uses GTK+ as widget toolkit for creating its GUI, and calls gnuplot for generating graphs. The native scripting language of gretl is known as hansl (see below); it can also be used together with TRAMO/SEATS, R, Stata, Python, Octave, Ox and Julia.


28. Jamovi

Jamovi is a free and open source statistical software built on ‘R’ language. Intuitive interface, quality spreadsheet, optimized analysis are the key reasons for its popularity. It performs all statistical tests with reliability and competence.




When we are in an unknown territory, we rely on maps to guide us because it provides us the guidance that we need to trail the unknown path. Maps are not just random lines drawn on a piece of paper, but they are charted after a thoroughly calculated mapping process. It makes them reliable and valuable. Similarly, companies venturing out in unexplored trajectories need filtered data to guide them. Statistics does this filtering of data for finding out the value statements. Statistics gets rid of the massive data and brings valuable facts on the table.

Everyone today is a data-driven. For running mainstream businesses, relying just on experience, instincts, or goodwill is no longer sufficient.


Disclaimer: We try to ensure that the information we post on is accurate. However, despite our best efforts, some of the content may contain errors. You can trust us, but please conduct your own checks too.

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