EViews alternatives

3 tools to consider instead of EViews, shown against it.

EViews Stata R SAS
Vendor S&P Global StataCorp LLC The R Foundation SAS Institute Inc.
Pricing model Subscription Subscription Open source + paid options Quote only
Free tier Yes No Yes No
Deployment Self-hosted Self-hosted Self-hosted Cloud, Self-hosted
Open source No No Yes (GPL-2.0-or-later) No
Best for Economists and financial analysts running time-series forecasting and econometric modeling. Economists, epidemiologists, and social scientists who need reproducible, command-driven statistical analysis. Statisticians, academic researchers, and analytics engineers doing custom statistical modeling and visualization. Regulated enterprises (pharma, banking, government) that need validated, auditable statistical analysis at scale.
Pricing

One-time single-user license (new or upgrade) at separate commercial and academic price points; volume licenses for institutions; a limited free Student Version Lite is also offered.

Commercial – New license $2,450
Commercial – Upgrade $925
Academic – New license $700
Academic – Upgrade $380

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Single-user annual or perpetual license by edition (BE/SE/MP); multi-user network and volume licenses priced by quote.

Stata/MP (annual, download) $995.00/year

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Free and open source; no paid tiers for the language itself. Commercial support and hosted environments are sold separately by third parties (e.g. Posit).

Pricing has not been verified yet — see the vendor's site.

No published price list; SAS quotes each deal based on modules, users, and deployment (on-prem, cloud, or marketplace pay-as-you-go).

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Features
  • Time-series regression and ARIMA/VAR modeling
  • Panel-data and cross-sectional estimation
  • Cointegration and unit-root testing
  • Forecasting with structural and reduced-form models
  • Object-oriented workfiles for reproducible workflows
  • Built-in economic and financial data connections
  • Programming language for custom estimation routines
  • Built-in library of regression and panel-data estimators
  • Survival and time-series analysis
  • Complex survey design and weighting
  • Do-file scripting for reproducible analysis
  • Mata matrix programming language
  • Publication-quality graphics
  • Extensible via user-written commands (SSC archive)
  • Extensive statistical modeling functions (linear/generalized/mixed models)
  • CRAN package ecosystem with 20,000+ packages
  • ggplot2 grammar-of-graphics visualization
  • R Markdown/Quarto for reproducible reports
  • Vectorized data manipulation (base R and tidyverse)
  • Shiny for interactive statistical web apps
  • Interfaces to C/C++/Fortran for performance-critical code
  • SAS/STAT library of statistical procedures
  • SAS Viya cloud-native analytics engine with Python/R APIs
  • Predictive modeling and machine learning
  • Data management, ETL, and governance tooling
  • Regulatory-grade validation and audit documentation
  • Enterprise reporting and business intelligence
  • Role-based access control and model governance

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