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Head-to-head · Statistical Analysis Software

IBM SPSS Statistics vs JASP

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score IBM SPSS Statistics #3 in Statistical Analysis Software 9.2/10 14-day trial Free trial✓ 3 of 4 features Visit IBM SPSS
JASP #5 in Statistical Analysis Software 9.0/10 Free plan Free plan✓ 4 of 4 features Visit JASP

IBM SPSS Statistics leads on 0 checks, JASP on 1, and 4 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreIBM SPSS Statistics · 9.2/10
  • Free planonly JASP
  • Free trialonly IBM SPSS Statistics
  • Most featuresJASP · 4 of 4

IBM SPSS Statistics scores higher on our rubric for statistical analysis software: 9.2 against 9.0 out of 10; our editors rank them #3 and #5.

JASP offers free plan; IBM SPSS Statistics doesn't.

IBM SPSS Statistics is the better fit for established all-purpose statistical analysis. JASP is the better fit for free Bayesian and frequentist analysis.

  • IBM SPSS Statistics fits best

    Established all-purpose statistical analysis

  • JASP fits best

    Free Bayesian and frequentist analysis

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Side by side

Feature IBM SPSS Statistics 9.2/10 Visit ↗ JASP 9.0/10 Visit ↗
At a glance
Editor score 9.2 9.0
Ranking #3 in Statistical Analysis Software #5 in Statistical Analysis Software
Best for Established all-purpose statistical analysis Free Bayesian and frequentist analysis
Pricing model Paid Free
Starting price — Free plan
Free plan — ✓ (best)
Free trial 14 days —
Deployment Desktop Desktop
Platforms Windows, macOS Windows, macOS, Linux
Support Community, Docs Email, Community, Docs
Integrations 2 integrations 1 integrations
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features IBM SPSS Statistics 3/4 · JASP 4/4
Statistical tests ✓ ✓
Regression models ✓ ✓
Scripting support ✓ ✓
Bayesian analysis Not checked yet ✓ (best)
Specs
Deployment Desktop Desktop
Data import formats Not checked yet .csv, .tsv, .txt, .sav, .zsav, .por, .sas7bda, .sas7bcatt, .xpt, .ods, .xls, .xlsx, .dta, .rdata, .rds, .mwx, .mpx
Our review
Pros
  • Covers testing, regression, forecasting, predictive modeling, and reporting
  • Supports R and Python through APIs, embedded code, and extensions
  • Includes data preparation, missing-value analysis, and custom reporting
  • Supports both frequentist and Bayesian statistical analyses
  • Covers regression, factor analysis, SEM, and specialized modules
  • Runs on Windows, macOS, and Linux with many import formats
Cons
  • No free plan; subscription pricing starts at $99 per authorized user
  • Advanced capabilities are split across optional feature add-ons
  • Desktop deployment is limited to Windows and macOS
  • Desktop deployment does not provide a browser-based workflow
  • Its main listed integration is limited to Open Science Framework
  • R syntax support may suit users comfortable with scripting
Our verdict

IBM SPSS Statistics is desktop statistical analysis software for organizations, researchers, analysts, and professionals. Its scope spans data preparation, statistical and hypothesis testing, linear, categorical, and nonlinear regression,…

Read the review →

JASP is free, open-source desktop software for conducting and teaching statistics. It is designed for researchers, students, and instructors who need both frequentist and Bayesian methods in a graphical environment. Its spreadsheet-style…

Read the review →
  1. IBM SPSS StatisticsStatistical Analysis Software 9.214-day trial
  2. JASPStatistical Analysis Software 9.0Free plan

Strengths and trade-offs

  • IBM SPSS Statistics — where it wins

    • Covers testing, regression, forecasting, predictive modeling, and reporting
    • Supports R and Python through APIs, embedded code, and extensions
    • Includes data preparation, missing-value analysis, and custom reporting

    Where it doesn't

    • No free plan; subscription pricing starts at $99 per authorized user
    • Advanced capabilities are split across optional feature add-ons
    • Desktop deployment is limited to Windows and macOS
  • JASP — where it wins

    • Supports both frequentist and Bayesian statistical analyses
    • Covers regression, factor analysis, SEM, and specialized modules
    • Runs on Windows, macOS, and Linux with many import formats

    Where it doesn't

    • Desktop deployment does not provide a browser-based workflow
    • Its main listed integration is limited to Open Science Framework
    • R syntax support may suit users comfortable with scripting
  • IBM SPSS Statistics9.2/10 · 14-day trial

    A broad desktop statistics suite with testing, modeling, forecasting, reporting, and R/Python integration.

    Visit IBM SPSSFull verdict →
  • JASP9.0/10 · Free plan

    A free desktop statistics package combining drag-and-drop analysis with R-based workflows.

    Visit JASPFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update