The best pyabc alternatives
The rest of Best Statistical Analysis Software, in this site's order: each with what it costs, where it runs and its record score.
Stata is designed for researchers in fields including economics, public health, education, finance, and social sciences.
jamovi suits students, researchers, and other users who need statistical analysis without writing code.
EViews may suit academic researchers, corporations, government agencies, and students working with statistical or econometric analysis.
SPSS Statistics suits organizations, researchers, students, and faculty needing structured statistical analysis.
StatPlus suits people handling statistical analysis in research, healthcare, finance, economics, and related fields.
JASP may suit students, researchers, and other statistical practitioners who want a graphical workflow without learning programming.
It is designed for researchers, universities, market researchers, consultants, and data analysts working with latent-variable or choice models.
R suits people who need a free environment for statistical computing, graphics, tests, regression modeling, or scripting.
SAS/STAT suits analysts working on statistical tasks from specialized projects to organization-wide analytics.
PSPP may suit statisticians, social scientists, and students working with sampled data.
gretl suits people doing econometric analysis who want a free desktop tool with scripting, model estimation, and time-series methods.
StatsDirect suits researchers, educators and students who need statistical methods and guided reporting, especially in biomedical or public health…
It suits teams building statistical models collaboratively, including users who work in Python, R, or SAS.