EViews is a popular econometrics and time‑series analysis package. Below is a curated list of 20 alternative statistical analysis tools that can handle econometric modelling, forecasting, data visualization, and advanced analytics.
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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.
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.
High‑performance numerical computing environment; toolboxes for econometrics, time‑series, and financial modelling with rich visualization.
Statistical software focused on quality improvement and Six Sigma; includes regression, ANOVA, and time‑series analysis modules.
Interactive statistical discovery software from SAS; excels at dynamic visualizations, design of experiments, and predictive modeling.
Free, open‑source econometrics package; lightweight GUI and command‑line interface for OLS, GMM, VAR, and cointegration analysis.
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.
Cloud‑native analytics platform that combines SAS statistics, machine learning, and data visualization in a scalable environment.
High‑performance language for technical computing; packages like DataFrames.jl, StatsModels.jl, and Econometrics.jl provide fast econometric analysis.
Open‑source alternative to MATLAB; supports many statistical and econometric functions via additional toolboxes.
Free, open‑source statistical software with a clean GUI; offers Bayesian and frequentist analyses, including regression and time‑series.
User‑friendly, open‑source statistical platform built on R; provides drag‑and‑drop analysis, reproducible reports, and econometric modules.
Free alternative to SPSS; performs descriptive statistics, t‑tests, ANOVA, regression, and basic time‑series analysis.
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.