Compare / JASP and jamovi
Dioptra vs JASP and jamovi
JASP and jamovi are free, open-source statistics programs with a spreadsheet view, built on R. Dioptra is free and open source too, but aimed at lab experiments and figures: Prism-style tables, curve fitting and a graph editor for journal figures. JASP and jamovi cover more statistics, and JASP pairs most tests with a Bayesian version.
01 Side by side
Feature comparison
| Dioptra 0.4 | JASP | jamovi | |
|---|---|---|---|
| Price and licence | Free, MIT | Free, AGPL | Free, AGPL [3] |
| Platforms | Linux, Windows, macOS | Linux, Windows, macOS | Linux, Windows, macOS; jamovi cloud in a browser |
| Data layout | Prism-style tables: XY, column, grouped, contingency, survival, nested, plus a long-format table | One variable per column | One variable per column, with computed variables |
| Bayesian analyses | None | A Bayesian version of most tests, side by side with the frequentist one [1] | Through modules |
| Mixed-effects models | Planned | Yes, linear and generalized, classical and Bayesian [2] | Through the GAMLj module [4] |
| Breadth of statistics | Twenty analyses aimed at lab experiments | Wide: regression, factor analysis, SEM, meta-analysis, machine learning and more | Wide, with a module library |
| Curve fitting (dose-response, EC50, enzyme kinetics) | Equation library, shared parameters, constraints, model comparison | Not a built-in analysis | Not a built-in analysis |
| Publication graphs | A graph editor with sizes in millimetres and points, 23 families, multi-panel layouts, SVG and PDF with real text | Plots per analysis, with themes and some editing | Plots per analysis, with themes |
| Assumption checks | Run with every test and shown first | Options in the same panel as the test | Options in the same panel as the test |
| Live results | Results recompute when the data or options change | Yes | Yes |
| Code | dioptra command line; documented JSON project | R underneath | Syntax mode shows the R call for each analysis [5] |
| Runtime | A single native program, no R | Bundles R | Bundles R |
A dot marks the stronger side of a row, where there is one.
As of October 2026; module availability changes often, check each project's site.
02 In short
Which to use
JASP or jamovi is the better choice when
- you want Bayes factors next to every p value (JASP);
- you need regression with many predictors, factor analysis, SEM, meta-analysis or mixed models;
- you teach statistics in psychology or the social sciences, where both are common and well documented;
- you want the R code behind each analysis (jamovi's syntax mode).
Dioptra is the better choice when
- your data are lab experiments: dose groups, replicates, time courses, plate reads;
- you fit dose-response or other nonlinear curves and report EC50s with confidence intervals;
- you need the figure itself: sizes in millimetres, editable SVG and PDF, paired lines, SuperPlots, estimation plots;
- you are moving from GraphPad Prism and want the same table kinds.
The three work well together. Dioptra exports any table as CSV or XLSX, which JASP and jamovi open.
Try it on your own data
Dioptra is free for any use, with no account. Install it next to what you use now and run one experiment through both.