With your support, we have achieved a significant milestone - the application is now used across 130+ countries globally!
BlueSky Statistics is now the world’s first free and open sourced fully featured statistics and machine learning application that incorporates comprehensive Six Sigma and DoE (Design of Experiments) capabilities (
This new version of BlueSky Statistics supports professionals who are active in Six Sigma practices, Industry 4.0, and Quality 4.0 by combining advanced statistics, six sigma, DoE, machine learning, and AI capabilities, all accessible through an intuitive and easy-to-use application.
Fully featured Statistics application and development framework built on the open source R project
This R GUI provides familiar powerful user interface available in mainstream statistical applications like SPSS, SAS etc.
Unlocks the power of R for the analyst community by providing a rich GUI and output for several popular statistics, data mining, data manipulation and graphics commands, all out of the box...
Provides a rich development framework for developing and deploying new statistical modules, applications or functions with rich graphical user interfaces and output, all through intuitive drag and drop user interfaces (No programming required).
BlueSky Statistics can help you
Migrate from expensive propriety statistical applications to R.
Ease the R learning curve.
Use the cutting edge analytics available in R without having to learn programming.
Get results in true word processing tables automatically.
Quickly add your own menus and dialog boxes to any R functions.
For sophisticated users, BlueSky Statistics provides a rich application development framework that can be used to design new modules or new statistical functions with intuitive drag and drop interfaces. In a couple of clicks these modules can be installed in the BlueSky Statistics application or distributed to a colleague empowering both the author and the consumer.
Our goal is to create a marketplace where users can share their analytical functions and modules efficiently.