JASP
JASP: A free desktop statistics package combining drag-and-drop analysis with R-based workflows. Ranked #5 of 106 in Statistical Analysis Software by our editors (9.0/10); pricing: Free plan; best for free Bayesian and frequentist analysis.
At a glance
- Editor score9.0 / 10
- PricingFree plan
- Best forFree Bayesian and frequentist analysis
- Free planYes
- Paid fromFree
- DeploymentDesktop
- Facts checked20 Sep 2026
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
Our verdict on JASP
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 interface supports drag-and-drop analysis, dynamic result updates, and annotated output. Core procedures include descriptive statistics, t-tests, ANOVA, frequency tests, regression, mixed models, factor analysis, and structural equation modeling. Additional modules cover machine learning, meta-analysis, quality control, and audit workflows.
The breadth of its statistical toolkit is a central strength. JASP supports linear, logistic, generalized linear, and mixed-model regression, alongside Bayesian procedures and R-based analysis through an R syntax and analysis engine. It also accepts a broad set of import formats, including CSV, TSV, TXT, SAV, ZSAV, POR, SAS, XPT, ODS, XLS, XLSX, DTA, RDATA, RDS, MWX, and MPX. That combination gives users a choice between an accessible point-and-click workflow and a more script-oriented approach. Users seeking a focused environment for standard or Bayesian analysis should find the scope appropriate, while those needing highly specialized capabilities beyond its modules may prefer a different statistical system.
JASP is distributed as free and open-source software, with no paid tiers. It runs on Windows, macOS, and Linux, and integrates with the Open Science Framework. This makes it a practical fit for desktop-based statistical work and projects that use OSF as part of their workflow. Its desktop deployment is less suitable for teams expecting a browser-based application or a broader platform ecosystem. The published product details also identify JASP AI as a feature in version 0.98.1, while the core experience remains centered on statistical analysis, annotated results, and reproducible R-supported workflows.
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JASP pricing
JASP fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Deployment | Desktop |
| Statistical tests | Yes |
| Regression models | Yes |
| Scripting support | Yes |
| Bayesian analysis | Yes |
| Data import formats | .csv, .tsv, .txt, .sav, .zsav, .por, .sas7bda, .sas7bcatt, .xpt, .ods, .xls, .xlsx, .dta, .rdata, .rds, .mwx, .mpx |
| Deployment | Desktop |
| Platforms | Windows, macOS, Linux |
| Support | Email, Community, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 1 integrations: Open Science Framework (OSF) |
| Pricing | Free plan |
| Website | jasp-stats.org |
| Facts checked | 20 Sep 2026 |
JASP integrations
JASP lists 1 integrations on its own site.
- Open Science Framework (OSF)
Alternatives to JASP
- RA free, programmable environment for statistical analysis, modeling, visualization, and data import.9.4
- StataA broad, scriptable desktop environment for professional and reproducible applied analysis.9.3
- IBM SPSS StatisticsA broad desktop statistics suite with testing, modeling, forecasting, reporting, and R/Python integration.9.2
JASP vs the competition
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Also Ranked In
JASP is ranked in 2 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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