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Best G*Power Alternatives ranked by AI · updated May 2025

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G*Power is a popular software tool to perform statistical power analysis for various types of statistical tests.

Top 6 G*Power alternatives

3 jamovi logo

jamovi

jamovi project

jamovi is a free statistical spreadsheet application for students, researchers, and analysts who want point-and-click analysis. It combines a modern interface with...

Pros

  • More modern and approachable interface than R Commander
  • Offers spreadsheet-style data handling and analysis results
  • Supports R modules while hiding much of R's setup complexity

Cons

  • Less flexible than direct R for unusual or custom analyses
  • Some advanced methods depend on third-party modules
  • Smaller ecosystem than the full R package repository
4

The R Commander

John Fox

R Commander is an open-source graphical interface for R that helps students, researchers, and analysts run statistical procedures without writing much code....

Pros

  • Provides a simpler point-and-click workflow than base R
  • Generates reproducible R commands for each analysis
  • Supports extensions through a broad plug-in ecosystem

Cons

  • Less polished and discoverable than jamovi or JASP
  • Requires a separate R installation and package setup
  • Interface is dated compared with newer statistical GUIs

StatPlus:mac is a macOS statistics package for students, researchers, and business analysts who need spreadsheet-oriented data analysis. It provides descriptive statistics, hypothesis...

Pros

  • Includes a broad selection of common statistical tests
  • More approachable for spreadsheet users than R or command-line tools
  • Runs natively on macOS without requiring a separate statistics environment

Cons

  • The LE edition has fewer features than the paid versions
  • Less extensible and community-supported than R, jamovi, or JASP
  • Mac-only, with less workflow portability than web-based or cross-platform tools
6 Chisquares logo

Chisquares

Chisquares

Chisquares is a web-based statistical analysis platform for students, researchers, and analysts who want to analyze datasets without writing code. It provides...

Pros

  • Browser-based workflow avoids installing desktop statistical software
  • More guided than R for users who are new to statistical analysis
  • Supports common statistical tests and visualizations in one interface

Cons

  • Smaller ecosystem and user community than SPSS, JASP, or jamovi
  • Less extensible than R for custom analyses and automation
  • Pricing and advanced feature availability are less transparent than established competitors

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