JASP vs SAS/STAT

JASP9.0Visit SSSAS/STAT8.8Visit

Higher score JASP #5 in Statistical Analysis Software 9.0/10 Free plan Free plan✓ 4 of 4 features Visit JASP

vs

SS SAS/STAT #7 in Statistical Analysis Software 8.8/10 Pricing on request ✓ 3 of 4 features Visit SAS

• JASP fits best

  Free Bayesian and frequentist analysis

• SAS/STAT fits best

  Organizations needing deep SAS statistical procedures

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Side by side

Feature	JASP 9.0/10 Visit ↗	SSSAS/STAT 8.8/10 Visit ↗
At a glance
Editor score	9.0	8.8
Ranking	#5 in Statistical Analysis Software	#7 in Statistical Analysis Software
Best for	Free Bayesian and frequentist analysis	Organizations needing deep SAS statistical procedures
Pricing model	Free	Paid
Starting price	Free plan	Pricing on request
Free plan	✓ (best)	Not checked yet
Free trial	—	—
Built for	Solo, Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features JASP 4/4 · SAS/STAT 3/4
Statistical tests	✓	✓
Regression models	✓	✓
Scripting support	✓ (best)	Not checked yet
Bayesian analysis	✓	✓
Specs
Deployment	Desktop	Both
Data import formats	.csv, .tsv, .txt, .sav, .zsav, .por, .sas7bda, .sas7bcatt, .xpt, .ods, .xls, .xlsx, .dta, .rdata, .rds, .mwx, .mpx	Not checked yet
Our review
Pros	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	Covers ANOVA, regression, Bayesian, survival and missing-data methods Includes predictive modeling, categorical analysis and customizable charts Supports statistical work across small datasets and large-scale modeling
Cons	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	Pricing requires a sales conversation instead of a posted rate Broad procedure coverage may exceed the needs of simple analyses Proprietary licensing does not support open-source distribution models
Our verdict	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 →	SAS/STAT is statistical analysis software for researchers, analysts and organizations that need a broad set of formal procedures. Its scope spans analysis of variance, linear models, regression, Bayesian inference, categorical data,… Read the review →

Strengths and trade-offs

• 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

• SAS/STAT — where it wins

  • Covers ANOVA, regression, Bayesian, survival and missing-data methods
  • Includes predictive modeling, categorical analysis and customizable charts
  • Supports statistical work across small datasets and large-scale modeling

  Where it doesn't

  • Pricing requires a sales conversation instead of a posted rate
  • Broad procedure coverage may exceed the needs of simple analyses
  • Proprietary licensing does not support open-source distribution models

• JASP9.0/10 · Free plan

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

  Visit JASPFull verdict →
• SSSAS/STAT8.8/10 · Pricing on request

  A broad SAS toolkit for organizations that need advanced statistical procedures.

  Visit SASFull verdict →