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Stagraph is a complex software tool for data import - data wrangling - data visualization. Professional software for data engineers, data analysts, data scientists, statisticians and other "data professionals". Power of up-to-date data science tools in a simple to use visual interface.


Reduce the complexity of work with the data. With the Stagraph you can do all in one simple-to-use visual environment. Power of data-science languages combined with simplicity of Excel in one tool.


No time-consuming data transfer between several applications. Use one environment for data import, data wrangling and data visualization. Make actionable insights in a few clicks, without coding.


With the Stagraph you are not closed in one solution. Use your results outside the Stagraph environment. Offline or online, in interactive dashboards, reports or in other BI apps and R-based solutions.


Stagraph interface allows you to connect directly to basic file types (Excel, CSV, DBF), you can load data from databases (via ODBC Connection) or you can create a custom dataset in a build-in spreadsheet. In addition, you can retrieve data from practically any data source using external R packages.

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Data cleaning, combining and preprocessing has never been so easy. Stagraph uses top data scientist's R packages for this purpose. Using the Grammar of Data you can wrangle your data very effectively, quickly and easily inside the best user interface. In special cases, you can also use SQL or R scripts.

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Using the Grammar of Graphics, you can visually explore your data in the same way as you think. Combine more than 80 geometries, 50 statistical functions, 7 annotation layers, 90 scales, 7 coordinate systems, 6 faceting options, 28 themes and custom objects in a very straightforward user interface. Create highly effective and visually impressive statistical graphics in a few simple steps.

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You can publish pre-processed data and created data visualizations in variable forms - vector or raster, static, interactive or animated, offline or online. In addition, all your steps & clicks in Stagraph are automatically converted into scripts in R language, so you are not closed with your projects under one closed (black-box) technology.

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#What is Stagraph

Stagraph is full-featured, professional tool for producing statistical graphics in publishing quality and visual exploration of large multidimensional data.


Stagraph uses R runtime in the background. Use the tools and techniques of professional data scientists without programming.


Import your data from multiple sources, combine, pre-process and display. Simple data import, the best approach to data visualization.


Stagraph is created for MS Windows OS (Vista or above). All the necessary is included in installation packages.


Stagraph is released under the freemium license model. The basic version is freeware. Professional version unlocks the full Stagraph functionality.


Complete documentation of Stagraph features. Use cases, FAQ, tips & tutorials.


Stagraph forms a spinoff project of the HydroOffice software package that includes 17 independent tools and has been on the market for more than 13 years. These tools are installed and used on over 80,000 PCs around the world. Users and customers are dominantly statisticians, data scientists, environmental engineers, spatial analysts, geoscientists, hydrologists, meteorologists, marketers and business analysts.

  • Simplicity - use a new approach for data analysis and visualization.
  • Speed - shorten the time between data collection and actionable insights.
  • Security - money back guarantee. If you are not satisfied, we will give you your money back.
  • Stability - 13 years of experience in geoscience and data science software development and support.

Choose your plan


€ 0

Unlimited amount of data, no data-source restrictions. Full functionality for data import and data wrangling. Limited number of available geometries for your data visualizations.




Always use the latest Stagraph version. Annual licensing model. Unlock the full power of Stagraph functionality.

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