jamovi vs SAS Visual Statistics

jamovi is a free, open-source statistical analysis program for working with data through point-and-click controls or scripting. It supports statistical tests, regression models, and Bayesian analysis, and imports SPSS (.sav), SAS, Stata, CSV, and Excel files. The spreadsheet-style interface lets users choose variables and settings, with results updating as they work; analysis does not require writing code. The desktop application runs on Windows, macOS, and Linux, and works offline after installation. Cloud access runs in a browser without installation or setup, including on modern browsers, Chromebooks, lab computers, tablets, and other devices. The free Cloud Guest plan requires no credit card, but guest sessions lack queue skipping, unlimited session length, longer idle timeouts, and larger datasets. jamovi is powered by R and displays the R syntax behind analyses. Data, analyses, and results can be saved together in a shareable, reproducible file. Cloud can connect to OneDrive to open and save jamovi files; Cloud plans include the full module library.

SAS Visual Statistics is a statistical visualization and modeling product on SAS Viya. It supports analysis from raw data toward strategic action, with visual model building, variable adjustment, and outlier removal; users can see how those changes affect outcomes. Multiple users can collaborate on the same data model, and the environment supports Python, R, or SAS. Listed techniques include clustering, decision trees, linear and logistic regression, generalized linear and additive models, and nonparametric logistic regression.

Imports include SAS data sets, Excel, delimited text, CSV, DTA, JMP, Parquet, and SPSS. Programmers can access the Viya CAS server through SAS Studio, PROC CAS, Python, R, Lua, Java, and public REST APIs. Native Python Pandas DataFrame integration supports sending DataFrames to CAS and retrieving results for use with packages such as Pandas, matplotlib, Plotly, and Bokeh. SAS Cloud Analytic Services processes data in memory and distributes work across cluster nodes. The product is cloud-deployed, paid, and priced on request; no free plan is listed, but a free trial is available.