Kahubi vs Julius AI

Julius AI makes data analysis approachable: upload a spreadsheet, ask a question in plain language and get a chart or a result. Kahubi’s statistics flow is built for a narrower audience: researchers who need the right test, its assumptions checked and the result written up for a paper.

What Julius AI does well

Credit where it's due: these are real strengths, and for some workflows they are exactly what you need.

Plain-language questions about spreadsheets, with charts in seconds
Works with Excel, CSV and Google Sheets
Good for exploratory analysis, from business questions to research datasets
Shareable notebooks and charts

Where Kahubi differs

Research tests with assumption checks

Kahubi runs 27+ tests used in research, from t-tests, ANOVA and chi-square to regression, PCA and Cronbach’s alpha. It checks assumptions like normality before running a test and suggests alternatives when they fail.

Results written for a paper

Results come out in APA format with effect sizes and confidence intervals, and land directly in your draft. The methods section can describe exactly what was run.

Next to your literature and interviews

Your dataset sits in the same project as your library, interview transcripts and manuscript, so the discussion can link your results to the papers you cite.

Processed in the EU

Kahubi runs with European providers and never trains on your data, which matters when a dataset contains participant information.

Feature comparison

Capability	Julius AI	Kahubi
Chats with your full library	No	Yesthe agent reads, searches, and cites your whole library
Edits a real LaTeX manuscript (compiled to PDF)	No	YesLaTeX → PDF compile built in, plus .docx and .tex export
Systematic review flow with PRISMA support	No	Yesdefine → search → screen → written review (PRISMA, MOOSE, Cochrane)
Statistics on your CSVs (t-tests, ANOVA, regression…)	Yeschat-based analysis and charts on spreadsheets	Yesfrom t-tests to PCA and Cronbach’s alpha, results land in your draft
Interview transcription processed in the EU	No	Yesspeaker labels, 99+ languages, EU-based providers
Learns your writing voice from your papers	No	Yesa style profile learned from your own publications

Last reviewed October 2026. Based on each product's public materials. Features change, so verify details on their site. Spotted something out of date? Tell us and we'll fix it.

Choose Julius AI if…

You want quick data exploration and charts from spreadsheets, and you will write up results elsewhere.

Choose Kahubi if…

You need research-grade tests with assumption checks and results written into a manuscript, next to your literature.

Kahubi pricing

Simple monthly plans, cancel anytime. A real free tier to start with, and predictable monthly cost on every paid plan.

Free

$0/ month

Try Kahubi on a small project

Starter

$29/ month

For a single ongoing study

Growth

$59/ month

For active researchers

Max

$109/ month

For labs and heavy users

See full plan details →

Kahubi vs Julius AI: common questions

Which statistical tests does Kahubi run?

Descriptives, t-tests, ANOVA, chi-square, correlation, linear and logistic regression, non-parametric tests like Mann-Whitney and Kruskal-Wallis, PCA, Cronbach’s alpha and more. Not sure which test fits? Try our free "which statistical test" tool.

Can Kahubi write up my results?

Yes. Results are formatted in APA style with effect sizes and confidence intervals and can be inserted into your draft. You should still read and check every number.

Is my dataset safe?

Kahubi is operated by Avidemic AB in Sweden, processes data with European providers and never trains on your content. Remove direct identifiers from datasets before uploading, as good practice.

Try the Kahubi side of the comparison

Sign up free, import your library in minutes, and run one real task (a screening round, an analysis, a draft) before you decide.