Genstat
Genstat: A focused Windows tool for experimental design, mixed models, and specialist analysis. Ranked #21 of 106 in Statistical Analysis Software by our editors (7.4/10); pricing: Paid; best for experimental, mixed-model, and specialist analysis.
At a glance
- Editor score7.4 / 10
- PricingPaid
- Best forExperimental, mixed-model, and specialist analysis
- Free planNo
- DeploymentDesktop
- Founded2000
- Facts checked20 Sep 2026

Where it wins
- Covers ANOVA, regression, mixed models, and experimental design
- Adds genomic, spatial, geostatistical, and meta-analysis methods
- Combines menu-driven analysis with scripting and automation
Where it doesn't
- Windows-only desktop deployment
- No free plan is available
- Commercial and enterprise pricing is quote-based
Our verdict on Genstat
Genstat is desktop statistical analysis software for researchers, educators, statisticians, and organisations working across scientific fields. Its scope includes data management, visualisation, hypothesis testing, regression, ANOVA, mixed models, multivariate analysis, meta-analysis, experimental design, genomic analysis, and spatial statistics. The combination of a menu-driven interface and Genstat’s command language suits users who want guided workflows alongside repeatable, programmable analysis. It is particularly well matched to experimental, mixed-model, and specialist research rather than general-purpose spreadsheet analysis.
The published academic plan is an Academic licence priced at £375 per licence, with full access to Genstat’s statistical and experimental design tools. Commercial and enterprise pricing is quote-based, while licensing terms can vary by access type and usage. There is no free plan. For organisations comparing software budgets, the main consideration is whether Genstat’s specialist methods justify a paid desktop licence. The product supports imports from formats and tools including Excel, CSV, R data frames, SAS, SPSS, Stata, MATLAB, Weka, ArcGIS shapefiles, and others, and it integrates with CycDesigN.
Genstat’s strongest differentiator is breadth within scientific and experimental analysis. Users can generate experimental designs, fit linear and nonlinear regression models, run ANOVA, apply REML-based linear mixed models, and work with generalized or hierarchical generalized linear mixed models. Genomic, QTL, spatial, and geostatistical methods extend its use into specialist domains. Windows-only availability narrows platform fit, and its licensed desktop model may not suit teams seeking a free, browser-based, or cross-platform environment. Choose Genstat for structured scientific analysis and advanced experimental methods; consider an alternative if platform flexibility or free access is the priority.
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Genstat pricing
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Genstat fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Deployment | Desktop |
| Statistical tests | Yes |
| Regression models | Yes |
| Scripting support | Yes |
| Bayesian analysis | Not verified |
| Data import formats | Excel XLS/XLSX, CSV, ASCII/TXT, R data frames, SAS, SPSS, Stata, Systat, Statistica, JMP, MATLAB, Weka, ArcGIS shapefiles, MapInfo, CSPro, EViews, GRETL |
| Deployment | Desktop |
| Platforms | Windows |
| Support | Email, Tickets, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 1 integrations: CycDesigN |
| Pricing | Paid (source) |
| Website | vsni.co.uk |
| Facts checked | 20 Sep 2026 |
Genstat integrations
Genstat lists 1 integrations on its own site.
- CycDesigN
Alternatives to Genstat
- 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
See all Genstat alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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