
R (programming language)
Open SourceR 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.
Discover best Statistical Analysis softwares, apps and websites.
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.
IBM SPSS Statistics is a leading statistical software platform used for solving research and business problems through analysis.
GMDH Shell is a powerful yet accessible software designed for predictive analytics and data mining. It empowers users to perform advanced data analysis, forecasting, and modeling without requiring extensive programming knowledge, making it ideal for business professionals and data scientists alike.
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.
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.
Deep.BI is a powerful analytics platform designed specifically for content publishers. It provides deep insights into content performance, audience behavior, and distribution effectiveness across multiple channels, enabling data-driven decisions to boost engagement and revenue.
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.
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.