Software Alternatives & Reviews

InStat VS NCSS

Compare InStat VS NCSS and see what are their differences

InStat logo InStat

InStat is the replacement for the heavy and complex statistical program that is designed for the engineers and scientist.

NCSS logo NCSS

NCSS is one of the best statistical software to get the accurate the comprehensive and easy to understand graphics and output of any text and numerical data.
  • InStat Landing page
    Landing page //
    2020-01-08
  • NCSS Landing page
    Landing page //
    2023-07-26

InStat videos

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NCSS videos

NCSS Implementing New Rule! Not good... AMC

More videos:

  • Demo - NCSS Statistical Software (Product Demo)

Category Popularity

0-100% (relative to InStat and NCSS)
Business & Commerce
42 42%
58% 58
Technical Computing
33 33%
67% 67
Sports
100 100%
0% 0
Office & Productivity
39 39%
61% 61

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Reviews

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NCSS Reviews

25 Best Statistical Analysis Software
NCSS is a robust and user-friendly tool for data analysis, offering an extensive suite of statistical tests and data management capabilities that cater to both novice and experienced users.

What are some alternatives?

When comparing InStat and NCSS, you can also consider the following products

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.

Yandex.Metrica - A free tool for evaluating site traffic and analyzing user behavior

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

Apache Kudu - Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.

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

GraphPad Prism - Overview. GraphPad Prism, available for both Windows and Mac computers, combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization.