Best Statistical Analysis Software in 2026

Stata is designed for researchers across fields including economics, education, epidemiology, finance, medical research, and public health.

jamovi

jamovi suits students, researchers, and others who need statistical analysis without writing code.

SAS/STAT suits analysts working on statistical methods across specialized or enterprise-wide analytics.

It suits researchers, corporations, government agencies and students doing statistical, econometric, forecasting or modeling work.

GraphPad Prism

Prism may suit researchers and other users who need statistical analysis and configurable graph exports on Windows or Mac.

R suits people who need a free environment for statistical computing, graphics, tests, regression, and scripting.

JASP

JASP suits people who need statistical analyses and reporting without learning programming.

It suits researchers and analysts working with latent-variable, segmentation or choice models, particularly those using Windows.

StatPlus suits researchers and professionals who need statistical analysis across the listed fields, especially those working with spreadsheet data.

It suits analysts, trainers, students, and professors who need statistics and data science tools.

It is aimed particularly at statisticians, social scientists, and students analyzing sampled data.

gretl suits econometrics students and practitioners seeking a desktop tool for statistical and time-series analysis across major operating systems.

It suits frontline researchers, educators, and learners who need a broad set of statistical methods.

SAS Visual Analytics

SAS Visual Analytics suits analysts and teams that need interactive reporting, data preparation, and predictive analytics.