Home > BlueSky Editions

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
Source Code Repository :
GitHub Link

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
License

Individual Commercial License
$495

Silver
$4,995
Gold
$9,995
Platinum
$19,995
Desktop Version
Unlimited Copies
Unlimited Copies Unlimited Copies Unlimited Copies Unlimited Copies
User Support
No
1-contact
1-contact, 1-backup
10-contacts
Unlimited-contacts
Prioritized feature requests
No Yes
Yes
Yes
Yes
Terminal Server Version
No No
100 concurrent
250 concurrent
Unlimited
Developer support
No No
No
Yes
Yes
Includes three custom dialogs
No No
No
No
Yes


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


Excel 2003


Excel 2007-2010


Comma separated (*.csv)


DBF (*.DBF)


SAS (*.sas7bdat)


DAT (*.DAT)


Txt (*.txt)






Load Data From R package






Database Connectivity MSSQL


PostgreSQL


MySQL


MS-Access






Dataset Save formats IBM SPSS (*.sav)


Excel 2007-2010


Comma separated (*.CSV)


DBF (*.DBF)


RObj (*.RData)





Data Preparation
Fully functional data grid

For Variables Binning


Compute


Concatenate multiple variabels


Convert to factors


Dates


Delete variables


Missing value analysis


Rank variables


Recode


Standardize


Transform


Weight

For Dataset Aggregate


Merge


Re-order variables alphabetically


Reshape


Sample


Sort


Subset


Transpose





Descriptive Statistics
Numerical summary analysis


Factor variable analysis


Frequencies


Summary by variable


Summary (group by multiple variables)


Numerical statistical analysis





Graphics and Visualizations
Bar charts


Boxplots


Bulls Eye


Contour plot


Density plots


Frequency charts


Heatmap


Histogram


Line charts


Maps


Pie charts


Plot of means


P-P plots


Q-Q plots


Scatterplot


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


ANCOVA


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





Factor analysis
Principal component analysis


Factor analysis





Split datasets for analysis
Split


Remove split





Split datastes for modeling
Random split


Stratified sampling





Linear modeling
Generalized linear models


Linear modeling


Linear regression


Logistic regression


Multinomial Logit


Ordinal regression


Summarizing models for each group





Tree algorithms
Decision trees


Random forest





Probabilistics classifiers
Naive Bayes





Clustering
Hierarchical cluster


K-Means cluster


KNN





Forecasting
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
AIC


BIC


Bonferroni outlier test


Confidence interval


Hosmer-Lemeshow test


IRT


Likelihood ratio test


Pseudo R squared


Stepwise


Variance inflation factors





Model scoring
Pick a model


Score the selected model


Save model


Load model





Reporting
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