yatawara.com / kernelstats

Powerful statistics. Free. In your browser.

KernelStats is a free, open-source statistical analysis platform built to replace expensive desktop software. It runs entirely in your browser — no install, no license, no waiting on IT. Built because powerful analysis should be accessible to students, budget-constrained researchers, and small organizations.

replaces Minitab ~$1,700/yr replaces JMP ~$1,785/yr replaces SAS ~$8,700/yr
$0
cost, forever
132
statistical methods
0
installs required
MIT
open-source license

01

What's inside

// capabilities

A complete analysis workflow — from cleaning a messy spreadsheet to a publication-ready report — grouped into three stages.

$ kernelstats --stage data-quality

Variable Doctor

15 automated diagnostics scan every column the moment your data lands — then fix issues with one click (and undo).

  • Detects coded missing values, numeric-as-text, malformed dates, and outliers
  • Flags ID columns that shouldn't be modeled
  • One-click fixes with full undo history

Import from anywhere

Bring data in from the formats you already use — no conversion, no fuss.

  • Files: CSV, Excel, SPSS, Stata, SAS, RDS
  • Quick paths: direct paste or load straight from a URL

$ kernelstats --stage analysis

Hypothesis testing

20+ tests plus a guided Test Finder wizard that recommends the right test for your question and data.

Regression

10 families: linear, logistic, probit, multinomial, ordinal, Poisson, negative binomial, zero-inflated, hurdle, and bias-reduced.

Time series & GARCH

Auto ARIMA, GARCH(1,1), GJR-GARCH, and EGARCH — with news-impact curves and forecasting.

Survival analysis

Kaplan-Meier curves, Cox proportional hazards, hazard forests, and Schoenfeld residual checks.

Machine learning pipeline

7 algorithms with auto classify/regress, model comparison, ROC curves, and variable importance.

Test Finder wizard

Not sure where to start? Answer a few plain-language questions and KernelStats points you to the correct procedure.

$ kernelstats --stage output

Plain-English results

Every analysis comes with a clear, plain-English interpretation — so you know what the numbers actually mean.

Word & HTML reports

Export polished, shareable Word and HTML reports directly from your session.

Industry templates

One-click reports built for real work: SPC (Cp/Cpk), RFM, Pareto, heatmaps, and volcano plots.

02

How it compares

// vs. the incumbents

The same core capabilities you'd pay thousands for each year — at no cost, in the browser.

Feature and cost comparison between KernelStats, Minitab, JMP, and SAS
Capability KernelStats Minitab JMP SAS
Annual cost Free $1,700 $1,785 $8,700
Open source
Runs in browser
Variable Doctor
Test Finder wizard
GARCH models
ML pipeline
Plain-English output

// Listed prices are approximate annual licensing costs and are for comparison only.

03

Under the hood

// technology

KernelStats is built on the same open-source stack trusted by working statisticians — every procedure maps to a peer-reviewed R package, so results are reproducible and auditable.

R + Shiny
reactive analysis engine
ggplot2
publication-grade graphics
132
methods → peer-reviewed R packages
MIT
licensed & open on GitHub
Coming soon

KernelStats Pro

The next chapter: an AI-powered layer that turns KernelStats from a tool you operate into a thinking partner. Pro reads your data, runs the right analysis, and explains the result in language anyone on your team can understand.

AI-powered analysis Claude integration Automated interpretation Enterprise deployment