About

Statistical analysis, back in reach

DeepStats is a browser-based statistical analysis platform built around a simple idea: the tools researchers use every day should not cost hundreds of dollars, require a PhD in scripting or live behind a license server.

What DeepStats is

DeepStats is a web application that runs 88 statistical analyses across eight categories — descriptive statistics, charts, hypothesis tests, correlation, regression, multivariate methods, statistical process control and design of experiments. You upload a CSV or Excel file, assign column roles, pick a test, and receive a formatted results table, a relevant chart and a plain-English interpretation. Everything runs in the browser; there is nothing to install and no license to manage.

The numerical work is carried out by the same open-source libraries most of modern research relies on: scipy for foundational statistical functions, statsmodels for regression and time-series, and scikit-learn for multivariate and machine learning methods. We do not reinvent the maths — we make it easier to reach.

Why we built it

Three frustrations kept coming up in our conversations with students, professors and working analysts. SPSS, Stata and similar commercial packages are expensive — often prohibitively so for undergraduates and independent researchers. R and Python are powerful, but their learning curves are steep enough to derail a deadline when all you need is a t-test result. And Excel, for all its ubiquity, has never been a serious statistics tool: assumptions checks are missing, the formula syntax is brittle, and the available tests stop well short of what even an introductory methods course requires.

We wanted a fourth option: a place where the tests are correct, the results are readable, and the path from “I have a dataset” to “I have an answer” is measured in minutes. DeepStats is our attempt at that option.

Who is behind it

DeepStats is made by an independent team of data scientists and engineers who have spent time on both sides of the problem: writing research code and teaching people who would rather not. We are not a university, a textbook publisher or a venture-funded analytics company. We are a small group that thought the tooling could be better and decided to build it.

Everything you see here — the catalog, the interpretations, the interface — is the result of that work. If something is wrong, unclear or missing, we want to hear about it, because the only way this project gets better is by being used.

Our mission

Make statistical analysis accessible to everyone who needs it, regardless of budget, operating system or programming background. Statistics is already hard enough; the software should not be the part that breaks you. DeepStats will always offer a free-to-use core, and we are committed to keeping the foundational analyses — the tests that appear in every methods course — available at no cost.

We think good statistical thinking makes for better research, better reporting and better decisions. A lower barrier to entry is how that thinking spreads. Thanks for trying DeepStats — we hope it saves you time.

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