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Open Source Edition (Free)

Fully featured analytical workbench that provides :

  • An intuitive graphical user interface, attractive interactive output for hundreds of frequently used exploratory analysis, data preparation, visualization, basic and advanced modeling techniques including model scoring.
  • Automatic R syntax generation for hundreds of frequently used exploratory analysis, data preparation, visualization and modeling techniques.
  • R syntax editor that allows you to write and execute R code and see richly formatted output.
  • Save and share output in PDF, HTML.
  • Technical support is available via community forums.
License : AGPL 3.0

Commercial Edition

1. BlueSky Statistics Commercial Desktop:
The BlueSky Statistics Commercial Desktop provides all the capabilities of the open source edition plus:
  • Access to priority support, 24 hr response time during business hours
  • Service Level Agreements for delivering application support and hot fixes for critical issues
  • Prioritized bug fixes and feature requests
2. BlueSky Statistics Commercial Server:
The BlueSky Statistics Commercial Desktop provides all the capabilities of the open source edition plus:
  • Support for Citrix and Terminal server
  • Access to priority support, 24 hr response time during business hours
  • Service Level Agreements for delivering application support and hot fixes for critical issues
  • Prioritized feature requests

Open Source
Commercial Edition
Run on terminal server

Install unlimited dialogs/extensions

Technical support

Enterprise features (Database and customization etc.)

Category Sub Category Description Open Source Commercial
Data Management Open Dataset IBM SPSS (*.sav)

Excel 2003

Excel 2007-2010

Comma separated (*.csv)


SAS (*.sas7bdat)


Txt (*.txt)

Load Data From R package

Database Connectivity MSSQL




Dataset Save formats IBM SPSS (*.sav)

Excel 2007-2010

Comma separated (*.CSV)


RObj (*.RData)

Data Preparation
Fully functional data grid

For Variables Binning


Compute, apply a function across all rows

Compute Dummy Variables

Conditional Compute

Conditional Compute, if-then

Conditional Compute, if-then-else

Concatenate multiple variabels

Convert to factors


Delete variables

Factor Levels

-- Add New Levels

-- Display Levels

-- Drop Unused Levels

-- Label NA as 'Missing'

-- Lumping into 'Other'

-- Reorder by Occurence in Dataset

-- Reorder by One Other Variable

-- Reorder Levels Manually

-- Specify levels to keep or replace by 'Other'

Missing value analysis

Rank variables





For Dataset Aggregate


Merge Datasets

Re-order variables alphabetically




Stack Datasets



Descriptive Statistics
Numerical summary analysis

Factor variable analysis


Summary by variable

Summary (group by multiple variables)

Numerical statistical analysis

Dataset Comparison

Dataset Description

Analysis Tables Basic


Survival Analysis Kaplan-Meier Estimation, compare groups
Kaplan-Meier Estimation, one group

Distribution, Continuous Beta Distribution Beta Probabilities
Beta Quantiles
Plot Beta Distribution
Sample from Beta Distribution
Cauchy Distribution Cauchy Probabilities
Cauchy Quantiles
Plot Cauchy Distribution
Sample from Cauchy Distribution
Chi-squared Distribution Chi-squared Probabilities
Chi-squared Quantiles
Plot Chi-squared Distribution
Sample from Chi-squared Distribution
Exponential Distribution Exponential Probabilities
Exponential Quantiles
Plot Exponential Quantiles
Sample from Exponential Distribution
F Distribution F Probabilities
F Quantiles
Plot F Distribution
Sample from F Distribution
Gamma Distribution Gamma Probabilities
Gamma Quantiles
Plot Gamma Distribution
Sample from Gamma Distribution
Gumbel Distribution Gumbel Probabilities
Gumbel Quantiles
Plot Gumbel Distribution
Sample from Gumbel Distribution
Logistic Distribution Logistic Probabilities
Logistic Quantiles
Plot Logistic Distribution
Sample from Logistic Distribution
Lognormal Distribution Lognormal Probabilities
Lognormal Quantiles
Plot Lognormal Distribution
Sample from Lognormal Distribution
Normal Distribution Normal Probabilities
Normal Quantiles
Plot Normal Distribution
Sample from Normal Distribution
t Distribution t Probabilities
t Quantiles
Plot t Distribution
Sample from t Distribution
Uniform Distribution Uniform Probabilities
Uniform Quantiles
Plot Uniform Distribution
Sample from Uniform Distribution
Weibull Distribution Weibull Probabilities
Weibull Quantiles
Plot Weibull Distribution
Sample from Weibull Distribution
Distribution, Discrete Binomial Distribution Binomial Probabilities
Binomial Quantiles
Binomial Tail Probabilities
Plot Binomial Distribution
Sample from Binomial Distribution
Geometric Distribution Geometric Probabilities
Geometric Quantiles
Geometric Tail Probabilities
Plot Geometric Distribution
Sample from Geometric Distribution
Hypergeometric Distribution Hypergeometric Probabilities
Hypergeometric Quantiles
Hypergeometric Tail Probabilities
Plot Hypergeometric Distribution
Sample from Hypergeometric Distribution
Negative Binomial Distribution Negative Binomial Probabilities
Negative Binomial Quantiles
Negative Binomial Tail Probabilities
Plot Negative Binomial Distribution
Sample from Negative Binomial Distribution
Poisson Distribution Poisson Probabilities
Poisson Quantiles
Poisson Tail Probabilities
Plot Poisson Distribution
Sample from Poisson Distribution

Graphics and Visualizations
Bar charts


Bulls Eye

Contour plot

Density plots

Frequency charts



Line charts


Pie charts

Plot of means

P-P plots

Q-Q plots


Stem and leaf plot

Strip chart

Violin plot

Statistical analysis
Correlation test

Shapiro-Wilk normality test

Compare means T-Test, Independent samples

T-Test, One samples

T-Test, Paired samples


Multi-way ANOVA

One-way ANOVA

One-way ANOVA with Blocks

One-way ANOVA with Random Blocks

Proportion test Single sample proportion test

Single sample exact binomial proportion test

Two sample proportion test

Variance Two variance F-Test

Possessive Bartlett's test

Levene's test

Non-parametric test Chi-squared test

Friedman test

Kruskal-Wallis test

Wilcoxon test, independent samples

Wilcoxon test, paired samples

Contingency tables Multiway crosstab

Two-way crosstab

Odds Ratios, M by 2 table

Relative Risks, M by 2 table

Agreement analysis
Bland-Altman Plot

Cohen's Kappa

Concordance Correlation Coefficient *

Concordance Correlation Coefficient, multiple raters *

Diagnostic Testing

Fleiss' Kappa

Intraclass Correlation Coefficients

Factor analysis
Principal component analysis

Factor analysis

Split datasets for analysis

Remove split

Split datastes for modeling
Random split

Stratified sampling

Contrasts Display

Contrasts Set

Linear modeling
Generalized linear models

Linear modeling

Linear regression

Linear Regression, multiple models

Logistic regression

Logistic Regression, conditional

Logistic Regression, multiple models

Multinomial Logit

Ordinal Regression

Quantile Regression

Summarizing models for each group
Model Tuning Cox Proportional Hazards Models Cox Multiple Models *
Cox Single Model
Cox With Formula

Mixed Models
Mixed Models, basic

Tree algorithms
Decision trees

Random forest

Extreme Gradient Boosting

Neural Networks Multi-Layer Perceptron


Probabilistics classifiers
Naive Bayes

Hierarchical cluster

K-Means cluster


Automated Arima

Exponential smoothing

Holt-Winters, seasonal

Holt-Winters, Non-seasonal

Plot time series
Reliability Analysis

. .

Cronbach's alpha

McDonald's omega

Model tuning
Bootstrap resampling

K-fold cross validation

Leave one out cross validation

Repeated K-fold cross validation

Model statistics


Bonferroni outlier test

Confidence interval

Hosmer-Lemeshow test


Likelihood ratio test

Pseudo R squared


Variance inflation factors

Model scoring
Pick a model

Score the selected model

Save model

Load model

Custom tables

Export to PDF

Export to Excel

Export to HTML

Export output table to MS-Word as APA table

Market basket
Generate rules

Item frequency

Targeting items

Display rules

Plot rules

Dialog utilities
Dialog inspector

Dialog installer

* This dialog can be installed in the Open Source edition using the dialog installer. A maximum of 5 dialogs can be installed in Open Source edition.