Make statistics accessible
Dialog-based tools enable complex analysis directly in Excel without requiring users to write code.

XLSTAT extends Microsoft Excel with statistical methods, visualizations, and modeling—without requiring users to write code. This page explains the available solutions before leading into the complete feature comparison.
XLSTAT operates as an extension within Microsoft Excel. Data can be prepared, checked, analyzed, and visualized in the environment where many users already manage it.
Its scope ranges from descriptive statistics, hypothesis tests, and regression to sensory and marketing analysis, machine learning, time series, survival analysis, and design of experiments. Results are provided as detailed reports and customizable Excel charts.
Prepare dataClean, structure, and sample your data.
Choose a methodRun the analysis through dialogs; no coding is required.
Use the resultsReview and customize reports and charts in Excel.
Documentation, tutorials, and support complement the software. Dedicated academic licensing is available for research and teaching.
Dialog-based tools enable complex analysis directly in Excel without requiring users to write code.
AI assistance, in-app guidance, and included demo data support method selection, error prevention, and interpretation.
Workflows can be automated, analyses reused, and reports generated in a few steps. According to the provider, recurring tasks can be completed up to 50% faster.
More than 300 statistical tools, intuitive dialogs, and imports from external sources are available without a separate analysis environment.
AI can summarize data, recommend methods, and explain results. High-performance algorithms support complex models and large datasets.
Customizable visualizations and exports to Excel, Word, or PowerPoint make it easier to communicate findings to teams and decision-makers.
The feature set covers the path from exploration to specialized analytical work.
Identify patterns, groups, and segments with visualizations, multivariate methods, and clustering.
Use regression and classification for forecasting and informed operational or strategic decisions.
Analyze sensory and consumer data to support product development and targeted market strategies.
Monitor and systematically improve process and product quality with statistical methods.
Identify trends and forecast future developments with specialized time-series methods.
Analyze biological, medical, pharmaceutical, and biomedical data with specialized methods.
This short introductory video shows how XLSTAT integrates statistical analysis into the familiar Excel working environment.
Essentials, Standard, and Advanced are cumulative: each higher tier contains the features of the preceding tier. The two specialized options address separate use cases and are therefore shown independently.
Carlo Lauro notes that XLSTAT supports both his teaching and research requirements, provides current high-performance algorithms, and can be extended through its R integration.
Carlo LauroProfessor Emeritus of Statistics, University of Naples Federico IIEmily Marucci describes the clearly designed interface as particularly approachable and emphasizes how easily analyses can be carried out.
Emily MarucciHybrid Cloud Portfolio Specialist, IBMIvan Mendez regularly uses XLSTAT for ANOVA in sensory evaluation. The relevant industry options shorten the analysis and leave more time for conclusions and recommendations.
Ivan MendezExecutive Director, MBSenseRafael Repiso uses XLSTAT in statistics courses because it covers the required methods while allowing students to work in the familiar Excel environment.
Rafael RepisoProfessor, International University of La RiojaSearch for one or more features and select what you need. The finder automatically identifies the smallest core package that contains every selected method.
Important: 3DPlot and LatentClass are separate Windows options. They are not part of the package matrix and are not recommended automatically.
Search, filter, or select: the mapping is based on the complete feature matrix containing 265 features.
The recommendation evaluates feature coverage only. License type, term, operating system, and organizational requirements must be reviewed separately.
Select the features you need. The smallest suitable core package is calculated automatically.
| Selection | Feature | Essentials | Standard | Advanced | Minimum package |
|---|
Change the search or filters.
You can explore XLSTAT without commitment, request a quote for the appropriate package, or clarify any remaining questions in a personal consultation.
The trial lets you explore, visualize, and model data in one interface. It is equivalent to XLSTAT Advanced and, according to the provider, includes access to more than 300 statistical features including AI-assisted tools. It begins after registration is completed, runs for 14 days, and cannot be renewed or extended.
Note: The provider’s trial feature count and the 265 entries in the comparison matrix use different groupings.
Use the form to request the download link. Download the appropriate installer for Windows or macOS, run it, and open XLSTAT when installation is complete.
Launch the application and complete the registration in XLSTAT. Your trial period will then start automatically.
When the trial expires, you can choose an XLSTAT license or continue with the permanently available free version, which contains a limited set of basic features.
No credit card details are requested for the trial, so there is no automatic charge when it expires.
The key points for evaluating XLSTAT in practice are summarized here.
The official product page places particular emphasis on three practical questions.
Sensory analysis tools help turn extensive prototype data into clear findings and concrete development decisions.
The AI Assistant combines AI-supported guidance and interpretation with statistical and no-code methods inside Excel.
Selection should start with the research question, data type, sampling design, and the assumptions of the method.
XLSTAT combines a broad statistical feature set with the familiar Excel interface. More than 150,000 people worldwide use it for advanced analysis without moving to a separate programming environment.
It applies statistical methods to complex data, reveals patterns, and supports defensible conclusions. XLSTAT ranges from descriptive statistics and regression to machine learning, time-series forecasting, and life-sciences analytics.
Typical fields include business, higher education, research, healthcare, engineering, life sciences, sensory research, consumer and market research, and quality management.
Yes. XLSTAT is available for Microsoft Excel on Windows and macOS. Individual specialized features are explicitly marked in the feature matrix when they are available only on Windows.
Available methods include one- and two-proportion tests, tests for independent or paired samples, t- and z-tests, variance tests, and equivalence tests. Data can be prepared and processed without coding.
Yes. The 14-day trial provides the XLSTAT Advanced feature scope and can be requested through the free-trial form embedded on this page.
Discounted or flexible academic licensing is available for students, researchers, and educational institutions. The appropriate arrangement can be clarified through a consultation or quote request.
The advanced import wizard can load and analyze data beyond Excel’s native size limits. For large datasets, the provider recommends the 64-bit version of Microsoft Office.
Yes. XLSTAT-R and the R Notebook combine the flexibility of R with the dialog-based Excel interface and support extensible analytical workflows.
The main difference is its native Excel integration. It also combines a broad cross-industry feature set, AI assistance, sensory methods, automation, and R integration in one working environment.
After requesting a trial or license, run the appropriate installer. XLSTAT can be launched when installation is complete and then appears as a separate tab in the Excel ribbon.
Data and analysis results are stored locally in Excel on the user’s computer. Sensitive analytical data therefore does not need to be transferred to an external service for normal processing.