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#2 R
Open‑source programming language and environment for statistical computing and graphics; extensive packages for econometrics, time‑series, and machine learning.
General‑purpose language with powerful data‑analysis libraries; ideal for reproducible research, econometric modelling, and predictive analytics.
#4 Stata
Commercial statistical software with a strong focus on econometrics, panel data, and time‑series analysis; intuitive command syntax and robust graphics.
User‑friendly GUI‑driven tool for statistical analysis, survey data, and predictive modeling; includes advanced econometric procedures.
Enterprise‑grade analytics suite offering comprehensive statistical, econometric, and forecasting capabilities with strong data‑management features.
#7 MATLAB
High‑performance numerical computing environment; toolboxes for econometrics, time‑series, and financial modelling with rich visualization.
#8 Minitab
Statistical software focused on quality improvement and Six Sigma; includes regression, ANOVA, and time‑series analysis modules.
#9 JMP
Interactive statistical discovery software from SAS; excels at dynamic visualizations, design of experiments, and predictive modeling.
#10 Gretl
Free, open‑source econometrics package; lightweight GUI and command‑line interface for OLS, GMM, VAR, and cointegration analysis.
#11 Statistica
Comprehensive analytics platform offering data mining, multivariate analysis, and econometric modeling with point‑and‑click and scripting options.
Point‑and‑click interface to SAS analytics; enables users to build, run, and automate statistical and econometric workflows without deep coding.
#13 SAS Viya
Cloud‑native analytics platform that combines SAS statistics, machine learning, and data visualization in a scalable environment.
#14 Julia
High‑performance language for technical computing; packages like DataFrames.jl, StatsModels.jl, and Econometrics.jl provide fast econometric analysis.
#15 Octave
Open‑source alternative to MATLAB; supports many statistical and econometric functions via additional toolboxes.
#16 JASP
Free, open‑source statistical software with a clean GUI; offers Bayesian and frequentist analyses, including regression and time‑series.
#17 Jamovi
User‑friendly, open‑source statistical platform built on R; provides drag‑and‑drop analysis, reproducible reports, and econometric modules.
#18 PSPP
Free alternative to SPSS; performs descriptive statistics, t‑tests, ANOVA, regression, and basic time‑series analysis.
#19 Statgraphics
Comprehensive statistical analysis software with strong visualization tools; includes econometrics, quality control, and forecasting.
Open‑source workflow engine for data analytics; integrates R, Python, and Java nodes for econometric modelling and predictive analytics.
Visual data science platform offering drag‑and‑drop modeling; supports statistical tests, time‑series forecasting, and machine‑learning pipelines.