About
Statistics should be reproducible, readable and honest
Statif was built for researchers, students, analysts and clinicians who have a spreadsheet, a question and a deadline — and who need results they can defend in review.
Most people do not need a statistics degree to answer their question. They need the right test chosen for their data structure, run correctly, reported completely, and explained in language a supervisor or reviewer will accept. That is the whole of what Statif does.
The platform reads your file, profiles each column, and proposes an analysis plan grounded in the data types it found. You can accept that plan or take manual control and choose from the full catalogue. Either way the output is the same: a complete result object with the statistic, its distributional details, an effect size, an assumption audit, a chart where a chart helps, and the source of the formula used.
The marketplace exists because software should know its limits. Reviewers ask questions about design, power and confounding that no automated planner should pretend to answer. Statif verifies statisticians before they can be hired and keeps messaging, files and appointments on-platform so there is a record if anything is disputed.
The name
The mountain in the mark is a distribution seen from the side: layered, uneven, and much more interesting than a single summary number. "Get Your Stats" is the promise — your data, your numbers, computed properly.
Best for
Built for
Researchers, thesis projects, companies, hospital management teams, students and data teams.
Data handling
Private storage, per-account access rules, deletion on request.
Contact
Our principles
Compute, never guess
Every statistic is produced by a deterministic implementation of a published formula. If Statif cannot compute something properly on your data, it says so instead of approximating.
Show the working
Test statistics, degrees of freedom, exact p-values, confidence intervals, effect sizes, assumption checks and the citation behind each method are all visible in the result.
Respect the data
Uploads live in private, per-account storage. Nothing is shared, published or used to train anything. You can delete a dataset and its file at any time.
Keep humans in reach
Automation handles calculation well; study design and interpretation often need judgement. Verified statisticians are one click away, inside the same workspace.