Choose the edition that best fits your needs
The Student edition offers free access for academic use, while the Professional+ edition is designed for advanced analysis and professional work.
Student
Free for academic learning
Built for learning and practice: classes, coursework and academic datasets of limited size. Everything you need to get started with statistics, at no cost.
Get Student free- Advanced statistical analysis
- 2,000 × 15 rows × cols
- 1 device
- Single-user license
- Email support
Professional+
For research, publishing and professional work
For professional work and advanced analysis on real-world data: unlimited big-data tables, advanced models and outputs ready to publish, deliver or present.
Purchase Professional+- Greater statistical power
- Unlimited rows × cols
- Multi-device (expandable)
- Team license sharing
- Priority support
- …and much more
The key difference: the size of your data
Ideal for practice and small academic datasets.
Big data and real-world datasets.
Compare features Full breakdown of what each license includes.
| Student | Professional+ | |
|---|---|---|
| Data limits | ||
| Data table columns | Up to 15 | Unlimited |
| Data table rows | Up to 2,000 | Unlimited |
| Data | ||
| Basic table editing, sorting and filtering | ||
| Save / Save as (only blocked in Trial) | ||
| Impute missing values | ||
| Detect / remove duplicate values | ||
| Table heat map | ||
| Hide constant columns | ||
| Empty-column actions (remove / hide) | ||
| Remove empty rows | ||
| Unique rows | ||
| Data quality report | ||
| Create / open / close projects | ||
| Statistical procedures | ||
| Estimation and hypothesis tests for one and two samples | ||
| Linear mixed models (LMM) | ||
| Generalized linear mixed models (GLMM) | ||
| Nonlinear mixed models (NLMM) | ||
| Linear model exploration | ||
| Smoothing / spline regression (Smooth) | ||
| Principal Component Analysis (PCA) | ||
| Generalized Procrustes Analysis (GPA) | ||
| Multidimensional scaling (MDS) | ||
| Hierarchical clustering | ||
| K-means | ||
| K-nearest neighbors (KNN, classification) | ||
| Random Forest (classification) | ||
| Linear discriminant analysis (LDA) | ||
| Multivariate multiple comparisons | ||
| Multiple Correspondence Analysis | ||
| Dissimilarity computation | ||
| Contingency tables | ||
| Goodness-of-fit tests for categorical, continuous and count data | ||
| Sensitivity and specificity | ||
| Kaplan-Meier (survival) | ||
| Sample size calculation | ||
| Paired-control design correction | ||
| Models for categorical data (counts, nominal and ordinal) | ||
| Tabulate (pivot tables) | ||
| Ridge regression | ||
| LASSO regression | ||
| PLS regression | ||
| Random Forest regression | ||
| Apply predictor (apply a pre-trained predictor to new data) | ||
| Apply classifier (apply a pre-trained classifier to new data) | ||
| PLS-based biplot | ||
| Fuzzy clustering (Fuzzy C-means) | ||
| Model-based clustering | ||
| Latin square design generation | ||
| Lattice design generation | ||
| Balanced incomplete block design generation | ||
| Alpha design generation | ||
| Charts and outputs | ||
| Base charts with default style (scatter, bars, dot, box, violin, histogram, density, etc.) | ||
| Chart panels (compose multiple charts in a grid) | ||
| Dot chart for quantitative data | ||
| Bar chart for quantitative data | ||
| Area chart for quantitative data | ||
| Export charts (SVG, PDF, HTML, MHT, PNG, GIF, TIFF, XLS/XLSX, RTF, BMP) | ||
| Text and image annotations | ||
| Zoom (in / out / reset) | ||
| Additional axis formatting options (minor/inner ticks, Y-axis width, X/Y axis color, cross marks, label backgrounds) | ||
| Grid color | ||
| Interactive cursor (crosshair with hover values) | ||
| Vertical and horizontal compression/expansion of the plot area | ||
| Change palette and appearance gallery | ||
| Full background color palette (Student: white/light gray only) | ||
| Chart background color | ||
| Chart filters (filter series, clear filters) | ||
| Conditional formatting (color one or more series by defined criteria) | ||
| Productivity and integration | ||
| Reproducible projects | ||
| Detailed, editable reports | ||
| Columns manager | ||
| Background processes and cancellable procedures | ||
| AI assistant powered by GPT | ||
| InfoStat compatibility (native IDB2 import) | ||
| Licensing | ||
| License coverage | 1 device | Multi-device (expandable) |
| License transferable to another PC | ||
| Share license with your team | ||
| License management panel | ||
| Remote device deactivation | ||
| Support | ||
| Email support | ||
| High-priority support | ||
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