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Head-to-head · Statistical Analysis Software

Stata vs JASP

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Stata #2 in Statistical Analysis Software 9.3/10 Paid ✓ 4 of 4 features Visit Stata
JASP #5 in Statistical Analysis Software 9.0/10 Free plan Free plan✓ 4 of 4 features Visit JASP

Stata 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 scoreStata · 9.3/10
  • Free planonly JASP

Stata scores higher on our rubric for statistical analysis software: 9.3 against 9.0 out of 10; our editors rank them #2 and #5.

JASP offers free plan; Stata doesn't.

Stata is the better fit for professional, reproducible applied analysis. JASP is the better fit for free Bayesian and frequentist analysis.

  • Stata fits best

    Professional, reproducible applied analysis

  • JASP fits best

    Free Bayesian and frequentist analysis

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Side by side

Feature Stata 9.3/10 Visit ↗ JASP 9.0/10 Visit ↗
At a glance
Editor score 9.3 9.0
Ranking #2 in Statistical Analysis Software #5 in Statistical Analysis Software
Best for Professional, reproducible applied analysis Free Bayesian and frequentist analysis
Pricing model Paid Free
Starting price $175/user/yr Free plan
Free plan — ✓ (best)
Free trial — —
Deployment Desktop Desktop
Platforms Windows, macOS, Linux Windows, macOS, Linux
Support Email, Live chat, Phone, Community, Docs Email, Community, Docs
Integrations 7 integrations 1 integrations
Built for Solo, Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Stata 4/4 · JASP 4/4
Statistical tests ✓ ✓
Regression models ✓ ✓
Scripting support ✓ ✓
Bayesian analysis ✓ ✓
Specs
Deployment Desktop Desktop
Data import formats Excel XLS/XLSX, CSV and delimited text, SAS, SPSS, Parquet, dBase, SQL databases via JDBC/ODBC, FRED, and Haver .csv, .tsv, .txt, .sav, .zsav, .por, .sas7bda, .sas7bcatt, .xpt, .ods, .xls, .xlsx, .dta, .rdata, .rds, .mwx, .mpx
Our review
Pros
  • Broad modeling across Bayesian, time-series, panel, survival, and multilevel methods
  • Command scripting, Mata programming, and reproducible reporting
  • Python, Jupyter, database, and common statistical-format integration
  • 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; published academic pricing requires university affiliation proof
  • Desktop deployment may not suit browser-first or cloud-only workflows
  • Higher-tier MP editions cost more as core counts increase
  • 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

Stata is an integrated desktop application for data management, statistical modeling, visualization, reporting, and reproducible workflows. It is designed for researchers, analysts, educators, and organizations that need applied analysis…

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. StataStatistical Analysis Software 9.3Paid
  2. JASPStatistical Analysis Software 9.0Free plan

Strengths and trade-offs

  • Stata — where it wins

    • Broad modeling across Bayesian, time-series, panel, survival, and multilevel methods
    • Command scripting, Mata programming, and reproducible reporting
    • Python, Jupyter, database, and common statistical-format integration

    Where it doesn't

    • No free plan; published academic pricing requires university affiliation proof
    • Desktop deployment may not suit browser-first or cloud-only workflows
    • Higher-tier MP editions cost more as core counts increase
  • 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
  • Stata9.3/10 · Paid

    A broad, scriptable desktop environment for professional and reproducible applied analysis.

    Visit StataFull 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