Everything Minitab, JMP, and SAS do — without the $8,700 price tag. Built by a publishing statistician. Runs in your browser.
15 automated diagnostics detect coded missing values, numeric-as-text, date columns, outliers, and ID columns. One-click fixes with full undo.
Parametric and nonparametric — t-tests, ANOVA, chi-square, Mann-Whitney, Kruskal-Wallis. With a Test Finder wizard that recommends the right test.
10 model families: linear, logistic, probit, multinomial, ordinal, Poisson, negative binomial, zero-inflated, hurdle, and bias-reduced.
ARIMA with auto-selection, GARCH(1,1), GJR-GARCH, EGARCH. Conditional volatility plots, news impact curves, and multi-step forecasting.
7 algorithms with auto-detection of classification vs regression. Model comparison dashboard, ROC curves, confusion matrices, variable importance.
Kaplan-Meier curves with log-rank tests, Cox proportional hazards, hazard ratio forest plots, concordance index, and Schoenfeld PH tests.
SPC control charts with Cp/Cpk, RFM customer segmentation, Pareto analysis, clinical heatmaps, volcano plots. Ready for quality, business, and healthcare.
Plain-English interpretations for every test result. Built to teach statistics, not just compute it. Perfect for classrooms and self-learners.
Generate Word or HTML reports with data overview, diagnostics, analysis results, and visualizations. One click from analysis to deliverable.
| Feature | Kernel | Minitab | JMP | SAS |
|---|---|---|---|---|
| Annual cost | Free | $1,700 | $1,785 | $8,700 |
| Open source | ✓ | — | — | — |
| Runs in browser | ✓ | — | — | — |
| Variable Doctor (auto-diagnostics) | ✓ | — | — | — |
| Test Finder wizard | ✓ | — | — | — |
| GARCH / volatility models | ✓ | — | — | ✓ |
| Machine learning pipeline | ✓ | — | ✓ | ✓ |
| Survival analysis | ✓ | — | ✓ | ✓ |
| Control charts / SPC | ✓ | ✓ | ✓ | ✓ |
| Plain-English interpretations | ✓ | — | — | — |
| Report generation | ✓ | ✓ | ✓ | ✓ |
CSV, Excel, SPSS, Stata, SAS, or paste data directly
Variable Doctor auto-detects 15 types of data issues
Run tests, fit models, build ML pipelines
Generate professional Word or HTML reports
Assistant Professor of Mathematics & Statistics
California State University, Bakersfield
KernelStats was born from a simple frustration: students and researchers shouldn't need $8,700/yr software to run a t-test. I built KernelStats to be the tool I wished existed when I started my career -- powerful enough for publication-grade analysis, intuitive enough for a first-year statistics student.
My research spans financial volatility modeling (GARCH, GJR-GARCH, EGARCH), environmental justice, and AI in statistics education. I've published in Environmental Research: Health, ACS ES&T Air, and IEEE FIE, with papers targeting the Journal of Business & Economic Statistics and Journal of Forecasting.
No installation. No account. No credit card.
Just open the app and start analyzing.
Coming soon: Kernel Pro — AI-powered analysis with Claude integration, team collaboration, and enterprise deployment.