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SOFA Statistics VS GenStat

Compare SOFA Statistics VS GenStat and see what are their differences

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SOFA Statistics logo SOFA Statistics

SOFA Statistics Open For All - the user-friendly, open-source statistics, analysis, & reporting software package.

GenStat logo GenStat

GenStat is a statistical and data analysing tools that is basically the pack of statistic tools and packages.
  • SOFA Statistics Landing page
    Landing page //
    2023-01-25
  • GenStat Landing page
    Landing page //
    2023-07-26

SOFA Statistics videos

+ Add

SOFA Statistics - the user-friendly statistics, analysis, and reporting program

More videos:

  • Review - SOFA Statistics
  • Review - Installing SOFA Statistics in Windows

GenStat videos

+ Add

Multi-treatment meta analysis with Genstat

More videos:

  • Review - Genstat Installation Window
  • Review - Importing an Excel Data Range into Genstat

Category Popularity

0-100% (relative to SOFA Statistics and GenStat)

SOFA Statistics

GenStat

Business & Commerce
57 57%
Business & Commerce
43% 43
Technical Computing
61 61%
Technical Computing
39% 39
Development
100 100%
Development
0% 0
Data Dashboard
44 44%
Data Dashboard
56% 56

User comments

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What are some alternatives?

When comparing SOFA Statistics and GenStat, you can also consider the following products

Statista - The Statistics Portal for Market Data, Market Research and Market Studies

MyAnalytics - MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.

Montecarlito - MonteCarlito is a free Excel-add-in to do Monte-Carlo-simulations.

Arcadia Enterprise - Arcadia Enterprise is the ultimate native BI for data lakes with real-time streaming visualizations, all without adding hardware or moving data.

datarobot - Become an AI-Driven Enterprise with Automated Machine Learning

Azure Databricks - Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.

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