Best SHAZAM (statistical analysis) Alternatives ranked by AI · updated Aug 2026

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SHAZAM is an econometric and statistical analysis program designed for researchers, economists, and students. It supports regression, time-series, simultaneous-equation, and limited-dependent-variable modeling through command-based workflows.

Developer: Kenneth J. White Price: N/A 🎯 shazam.econ.ubc.ca

Top 6 SHAZAM (statistical analysis) alternatives

1 Stata logo

πŸ’‘ Pick it for a polished econometrics workflow with stronger documentation, support, and modern panel-data tools.

Stata is a statistical software package commonly used for data analysis, data management, and graphics.

Starting from $57/month for students

2

R

πŸ’‘ Pick it for a free, extensible replacement with far more packages, visualization, and reproducible analysis options.

R is a programming language and software environment for statistical computing and graphics.

Pros

  • Specialized for statistical analysis
  • Vast number of packages for data manipulation and visualization

Cons

  • Steep learning curve for beginners
  • Not as versatile for general-purpose programming
3

πŸ’‘ Pick it for free, programmable analysis that connects econometrics with automation, machine learning, and production systems.

Python is a versatile and easy-to-read programming language with a strong emphasis on readability and simplicity.

Pros

  • Clear and readable syntax
  • Extensive standard library

Cons

  • Slower execution speed compared to compiled languages
  • Global interpreter lock can limit concurrency
4 EViews logo

EViews

IHS Markit

πŸ’‘ Pick it for an easier graphical workflow focused on time-series modeling, forecasting, and applied econometrics.

EViews is a commercial econometrics and forecasting package for economists, analysts, and academic researchers. It emphasizes time-series modeling, forecasting, data management, and...

Pros

  • Stronger time-series and forecasting interface than SHAZAM
  • More accessible graphical workflow for applied economists
  • Includes purpose-built tools for econometric forecasting

Cons

  • Commercial licensing is less flexible than free R or Gretl
  • Narrower general-purpose programming ecosystem than Python or R
  • Less strong for broad statistical computing outside econometrics

Paid; pricing varies by license

5 gretl logo

πŸ’‘ Pick it for a free, focused econometrics application with both GUI convenience and scriptable analysis.

gretl is an open-source software for econometric analysis. It provides a wide range of functionalities for data analysis, model estimation, and forecasting.

6 SAS logo

SAS

πŸ’‘ Pick it when enterprise governance, production reporting, and vendor support matter more than low cost or lightweight research use.

SAS is a software suite used for advanced analytics, multivariate analysis, business intelligence, data management, and predictive analytics.

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