Software Alternatives & Reviews

SOFA Statistics VS NumXL

Compare SOFA Statistics VS NumXL and see what are their differences

SOFA Statistics logo SOFA Statistics

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

NumXL logo NumXL

NumXL is a Microsoft Excel time series software add-in.
  • SOFA Statistics Landing page
    Landing page //
    2023-01-25
  • NumXL Landing page
    Landing page //
    2022-07-15

SOFA Statistics videos

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

More videos:

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

NumXL videos

NumXL 1.63 Overview

More videos:

  • Review - NumXL 1.5 Quick Intro
  • Review - NumXL - Quick Intro

Category Popularity

0-100% (relative to SOFA Statistics and NumXL)
Business & Commerce
59 59%
41% 41
Technical Computing
38 38%
62% 62
Data Dashboard
25 25%
75% 75
Development
100 100%
0% 0

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Reviews

These are some of the external sources and on-site user reviews we've used to compare SOFA Statistics and NumXL

SOFA Statistics Reviews

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NumXL Reviews

Top 10 Free Statistical Analysis Software 2023
1. NumXL offers a full set of time series analysis tools for evaluating and forecasting time-dependent data, including descriptive statistics, autocorrelation analysis, spectrum analysis, ARIMA modeling, GARCH modeling, and more.

What are some alternatives?

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

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

Base SAS - Base SAS Software is an easy-to-learn fourth-generation programming language for data access, transformation and reporting.

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

EViews - EViews (Econometric Views) is a statistical package for Windows, used mainly for time-series...

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IBM SPSS Statistics - IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.