JASP alternative
Browser Alternative to JASP
JASP (jasp-stats.org) is the free and open source desktop statistics package from the University of Amsterdam. It runs locally on Windows, Mac and Linux, has a clean drag-and-drop interface, reads SPSS .sav and Excel files, and is the natural SPSS replacement for empirical and Bayesian researchers. The signature feature is the Bayesian module: Bayes factors and credible intervals are surfaced alongside the frequentist results for many tests.
JASP's main constraint is that it is a desktop install. It does not run in the browser, it requires a fresh install per machine and per OS, and the install size is non-trivial. StatVeda is a browser tool that covers the same family of frequentist tests (descriptives, t-tests, ANOVA, post-hoc, regression, reliability, survival) with no install. It does not (yet) provide Bayesian inference; if you need Bayes factors, JASP remains the right answer.
At a glance: JASP vs StatVeda
| Feature | JASP | StatVeda |
|---|---|---|
| Cost | Free (open source, AGPLv3) | Free |
| Install | Desktop (Windows / Mac / Linux) | Browser, no install |
| Data file format | SPSS .sav, SAS, Stata, R, Excel, CSV (signature feature) | CSV and paste |
| Bayesian module (Bayes factors, BANOVA, BANCOVA) | Yes (signature feature) | No |
| Frequentist t-tests, ANOVA, regression, post-hoc, reliability | Yes | Yes |
| Crosstabs (chi-square, Fisher, McNemar, kappa, Cramer V) | Yes | Yes |
| Survival (Kaplan-Meier, log-rank, Cox PH) | Partial (via plugin) | Yes |
| Classical agricultural designs (split-plot, alpha lattice, augmented, diallel) | No (use R) | Yes |
| Word / PPT export | Via screenshot or copy table | Yes (one click) |
| Local (no data leaves machine) | Yes (desktop) | Yes (computation is in the browser) |
Where JASP wins
- ✓The Bayesian module. Side-by-side Bayes factors and frequentist output is what makes JASP JASP, and no browser tool matches it.
- ✓Reads SPSS .sav, SAS, Stata and R files natively. Open a legacy dataset without exporting to CSV first.
- ✓Local desktop install means data does not leave the machine even at the network layer; StatVeda computation is local but the page is served from Cloudflare.
- ✓Real-time output: change a setting, the result updates instantly without re-clicking.
- ✓Open source. The R back-end (jaspBase, jaspGraphs and the per-module packages) is auditable on GitHub.
Where StatVeda wins
- ✓Browser-based. No install on every machine, no Mac vs Windows version mismatch.
- ✓One-click Word and PPT export with the table laid out for a thesis chapter.
- ✓Goes beyond JASP on the classical agricultural designs (split-plot, split-split-plot, strip-plot, alpha lattice, augmented, diallel, generation means, line by tester, path coefficient).
- ✓Four-style citation block (APA, MLA, Vancouver, Chicago) generated alongside the result.
- ✓Mobile and Chromebook friendly. JASP is desktop-only.
Migration path
- If your work depends on Bayesian inference, keep JASP. StatVeda does not replace it for that.
- If your dataset is in SPSS .sav, open it in JASP and export to CSV; then paste into StatVeda for the everyday frequentist run.
- Verify on a known result before switching. The three-group, six-replicate one-way CRD worked example in Snedecor and Cochran (1989, ch. 12) is the cleanest cross-check between any two packages.
- For agricultural-design analyses JASP does not cover (split-plot, alpha lattice, diallel), use StatVeda directly.
Worked example: Independent-samples t-test in JASP and StatVeda
Two-group comparison from the JASP example library (any of the bundled datasets such as Kitchen Rolls or Sleep). The shape is the same: two columns, group label and outcome.
In JASP
In JASP: T-Tests then Independent Samples T-Test returns Levene's test for equality of variances, the Student t and the Welch t with df and p, the mean difference with its 95 percent CI, Cohen's d effect size and (in Bayesian mode) the Bayes factor BF10.
In StatVeda
In StatVeda: paste the two columns into the Two-Sample t-test tool. The result panel returns Levene's p, both the pooled-variance and Welch variants of t with df and p, the mean difference with its 95 percent CI, Cohen's d and a Q-Q plot. No Bayes factor.
Note: The frequentist t and df agree to four or more significant figures because both engines run the same closed-form formula. JASP additionally returns the Bayes factor; StatVeda does not.
Honest footnote: what this comparison cannot tell you
- •JASP is free, open source and runs locally. If you can install it, the Bayesian module alone is reason enough to keep it.
- •StatVeda is the right call when you cannot install (locked-down lab machine, Chromebook, tablet) or when you want a one-click Word export.
- •Neither tool is a substitute for an experienced statistician on a complex hierarchical or non-standard design.
References (JASP)
Try StatVeda
The StatVeda calculator engines run entirely in the browser. No signup, no install, no data sent to a server.
Open the Comparing Means tool