Statistical Analysis Linux Softwares

Discover best Statistical Analysis Linux softwares, apps and websites.

Best Statistical Analysis Linux Softwares

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R (programming language)

R is a powerful open-source language and environment for statistical computing, graphics, and data analysis. Widely used by statisticians and data miners for developing statistical software and data analysis.

Extensive statistical and graphical capabilities.
Automatic data loading
Development Education & Reference
IBM SPSS Statistics

IBM SPSS Statistics

Commercial

IBM SPSS Statistics is a leading statistical software platform used for solving research and business problems through analysis.

Comprehensive suite of statistical procedures.
Import From Excel
PSPP

PSPP

Open Source

PSPP is a free and open-source statistical analysis program, designed as a substitute for IBM SPSS Statistics. It supports a wide range of statistical analyses and data manipulation capabilities.

Completely free and open source
Education & Reference
RKWard

RKWard

Open Source

RKWard is a comprehensive and user-friendly graphical user interface (GUI) for the powerful R statistical programming language. It aims to bridge the gap between raw R code and intuitive statistical analysis, making it accessible to a wider audience.

User-friendly graphical interface for R.
Automatic data loading
SOFA Statistics

SOFA Statistics

Open Source

SOFA Statistics is a user-friendly, open-source statistical package designed for researchers, analysts, and students to easily perform statistical analysis and generate reports without requiring extensive coding knowledge.

Free and open-source
Reporting
DataCracker

DataCracker

Freemium

DataCracker is a web-based platform designed for comprehensive survey data analysis. It empowers users to effortlessly transform raw survey responses into actionable insights through intuitive tools for visualization, statistical analysis, and reporting. Ideal for market researchers, academics, and businesses seeking to understand their data better.

Intuitive and user-friendly interface, easy to learn.
Support for Android Things
Online Services