5 free statistical analysis apps to use instead of SPSS by IBM
The best free alternative to SPSS is JASP. Point-and-click with APA-style tables, Cronbach's alpha, EFA, CFA and regression.
Other great options: jamovi, GNU PSPP, R + RStudio and LibreOffice.
Quick pick: For point-and-click analysis like SPSS for your thesis: JASP or jamovi (both open .sav files and do Cronbach's alpha, EFA and regression). For something that looks like classic SPSS: PSPP.
Reviewed November 2026 against each vendor's official website.
Free plans and trial lengths are set by the vendor and can change. Check the official website before signing up.
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Point-and-click with APA-style tables, Cronbach's alpha, EFA, CFA and regression.
Point-and-click open-source statistics software similar to SPSS. It covers descriptives, t-tests, ANOVA, regression, Cronbach's alpha and EFA, with output in APA style.
Platforms: Windows · Mac · Linux
A spreadsheet view like SPSS, an add-on module library and the option to see the R code.
Open-source spreadsheet-style statistics built on R, with a point-and-click interface close to SPSS. It has a library of add-on modules.
Platforms: Windows · Mac · Linux · Web
Interface and syntax modeled on SPSS, and it reads and writes .sav.
Open-source statistics software modeled on SPSS that also accepts familiar SPSS syntax.
Platforms: Windows · Mac · Linux
No limit on the analyses you can run, including SEM and multilevel models.
The R statistics language plus the RStudio Desktop editor, both free. Handles any analysis, including SEM, multilevel models and machine learning.
Platforms: Windows · Mac · Linux
Calc is enough for descriptive statistics and basic charts.
Open-source office suite that replaces Microsoft Office: Writer, Calc, Impress and Draw. Works fully offline and is available in many languages.
Platforms: Windows · Mac · Linux
| App | Type | Platforms | Ease of use | GitHub stars |
|---|---|---|---|---|
 JASP | Open source | Windows, Mac, Linux | Easy to use | 1,017 |
 jamovi | Open source | Windows, Mac, Linux, Web | Easy to use | 800 |
 GNU PSPP | Open source | Windows, Mac, Linux | Some learning curve | — |
 R + RStudio | Open source | Windows, Mac, Linux | Technical setup | — |
 LibreOffice | Open source | Windows, Mac, Linux | Easy to use | — |
Open source: anyone can use, study and modify it, including businesses. Free: no cost, but the code is closed. Freemium: a lasting free plan with paid tiers for extra features. Source available: code is public but the license adds conditions.
The most popular picks are JASP, jamovi, GNU PSPP and R + RStudio. For point-and-click analysis like SPSS for your thesis: JASP or jamovi (both open .sav files and do Cronbach's alpha, EFA and regression). For something that looks like classic SPSS: PSPP.
Yes. Use Reliability for Cronbach's alpha, Factor > Exploratory Factor Analysis for EFA (with KMO and Bartlett's test), and Regression for linear regression.
JASP, jamovi and PSPP all open .sav files. In R, use the haven package.
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