MindStat vs. JASP vs. jamovi vs. SPSS vs. R
MindStat is the only statistical tool that combines R-grade numerical accuracy, SPSS-grade GUI convenience, free-to-start (freemium) browser access, and native Arabic (RTL) support — all at once. This page shows exactly how it stacks up.
Headline features
| Feature | MindStat | JASP | jamovi | SPSS | R |
|---|---|---|---|---|---|
| Free tier (freemium) | ✅ | ✅ | ✅ | ❌ | ✅ |
| Runs in a browser | ✅ | ❌ | ✅ (Cloud) | ❌ | ✅ (Posit Cloud) |
| Computation stays on your device | ✅ | ✅ (desktop) | ⚠️ Cloud uploads | ✅ (desktop) | ✅ (desktop) |
| Offline (PWA) | ✅ | ✅ | ✅ | ✅ | ✅ |
| Native Arabic & RTL | ✅ | ❌ | ❌ | ⚠️ | ❌ |
| Works on iPad / Chromebook | ✅ | ❌ | ❌ | ❌ | ❌ |
| Privacy (no data upload) | ✅ | ✅ | ✅ | ⚠️ | ✅ |
| Bytes fetched before you can work | ~2.9 MB (first load) | ~300 MB (install) | ~200 MB (install) | ~3 GB (install) | ~150 MB (install) |
Statistical coverage
| Analysis | MindStat | JASP | jamovi | SPSS | R |
|---|---|---|---|---|---|
| Parametric (t, ANOVA, regression) | ✅ | ✅ | ✅ | ✅ | ✅ |
| Mann-Whitney exact p-value | ✅ | ⚠️ | ⚠️ | ✅ | ✅ |
| Bayesian t-test + BF + HDI | ✅ | ✅ | ✅ | ⚠️ | ✅ |
| SEM / CFA with fit indices | ✅ | ⚠️ | ✅ | ⚠️ | ✅ |
| Spatial (Moran's I, LISA) | ✅ | ❌ | ❌ | ⚠️ | ✅ |
| SPC — 8 W.E. rules | ✅ | ❌ | ❌ | ❌ | ⚠️ |
| Mediation (bootstrap + Sobel) | ✅ | ⚠️ | ✅ | ✅ | ✅ |
| MICE imputation | ✅ | ❌ | ❌ | ✅ | ✅ |
Reproducibility & diagnostics
| Property | MindStat | JASP | jamovi | SPSS | R |
|---|---|---|---|---|---|
| Seed user-visible after run | ✅ auto-echo | ⚠️ hidden | ⚠️ hidden | ⚠️ | ✅ manual |
| Unicode seeds (Arabic labels) | ✅ FNV-1a | ❌ | ❌ | ❌ | ⚠️ |
| VIF auto-colored | ✅ | ⚠️ | ⚠️ | ✅ | ⚠️ |
| Condition number κ | ✅ | ❌ | ❌ | ⚠️ | ⚠️ |
| GG/HF auto-surfaced | ✅ highlighted | ✅ | ✅ | ✅ | ⚠️ |
Where MindStat leads uniquely
MindStat is the only tool that offers all of the following simultaneously:
- True Arabic-first design — RTL layouts, bilingual narratives, Arabic-label seeds. Not a retrofit.
- Zero-install browser execution — opens at a URL. Works on a Chromebook, iPad, library computer.
- 100% client-side computation — no server step ever. Clinical, governmental, or corporate data never leaves your browser.
- Reproducibility by default — forgets to seed? No problem. MindStat auto-seeds and echoes.
- More than 240 statistical procedures in one tool — from t-tests to SEM, Bayesian MCMC, spatial statistics, SPC.
Honest disclosure — where competitors still lead
- Lavaan-level SEM flexibility (R) — MindStat now covers ML, FIML, MLR and WLSMV estimators plus multi-group CFA; the FIML and WLSMV paths don't yet report standard errors/TLI/SRMR, and lavaan's broader syntax (multilevel SEM, non-linear constraints) isn't replicated.
- PROCESS macro coverage (R/SPSS) — MindStat supports simple & multiple mediation; advanced Hayes models 7, 14, 15, 58, 59, 76 on roadmap.
- Adaptive Gauss-Hermite GLMM (R lme4) — MindStat's linear mixed models match lme4 under REML, but its GLMM uses a Laplace approximation rather than lme4's full adaptive Gauss-Hermite quadrature, and crossed random effects cannot yet carry a random slope.
- Native project format (JASP .jasp / jamovi .omv) — MindStat saves JSON only.
- Scripting API (R / SPSS syntax) — MindStat is GUI-only for now.
- Bayesian model averaging & inclusion BFs (JASP) — JASP reports inclusion Bayes factors across whole analysis families; MindStat's BMA is regression-only and capped at 2k ≤ 1024, with no stochastic model search.
- Third-party module ecosystem (jamovi) — jamovi has a library of community modules that extend it indefinitely; MindStat ships a fixed feature set with no plug-in API.
- metafor-depth meta-analysis (R) — MindStat covers the common pooled, network and diagnostic-accuracy models; metafor goes far deeper in model families, moderators and publication-bias methods.
Numerical agreement with R 4.x
Verified in live testing — differences typically below 10⁻⁶.
| Procedure | R reference | MindStat | |Δ| |
|---|---|---|---|
| pnorm(1.96) | 0.9750021048517795 | 0.9750021048517795 | exact (last bit) |
| pnorm(−6) (far tail) | 9.865876450376946 × 10⁻¹⁰ | 9.86587645037699 × 10⁻¹⁰ | 4.4 × 10⁻¹⁵ |
| qnorm(0.975) | 1.959963984540054 | 1.9599639845400538 | 1.1 × 10⁻¹⁶ |
| qnorm(10⁻⁸) | −5.612001244174789 | −5.612001244174789 | exact (last bit) |
| Paired t-test | t=1.6767 | t=1.6767 | exact |
| One-way ANOVA | F=44.99 | F=44.99 | exact |
| Mann-Whitney (exact) | U=10, p=0.6905 | U=10, p=0.6905 | exact |
| Kendall τ-b | τ=0.6, p=0.1329 | τ=0.6, p=0.1329 | exact |