Expert reporting with PostgreSQL data
Stimulsoft introduces a powerful and user-friendly tool for generating reports of any complexity using PostgreSQL data. Our products are designed to simplify the processes of data analysis and visualization, making report creation both convenient and fast.How it works?
Creating reports in Stimulsoft involves several steps: connecting PostgreSQL data, selecting components for displaying and analyzing data, customizing the appearance of the report, grouping and filtering data, and finally, saving or exporting the report to one of the many available formats.Universal compatibility
Our tools support all modern operating systems such as Windows, macOS, Linux (.deb and .rpm), as well as all modern browsers: Chrome, Edge, Safari, Mozilla, and others. Regardless of the platform you use, you can always rely on our tools to deliver superior performance in the context of creating PostgreSQL-based reports.Variety of charting options
Turn your data into clear and meaningful visualizations by using a wide range of graphing and charting capabilities. We provide a variety of charts, including bar charts, pie charts, and line graphs, as well as 3D charts. Choose the format that most effectively communicates your information.Report design options
Utilize a wide range of customizable templates, themes, and styles to create visually appealing and professional-looking reports that perfectly suit your needs.Interactive reports
Elevate your reports to the next level with interactive features like drill-down, sorting, filtering, and parameter management. Explore and analyze your data in a dynamic and engaging manner.Miscellaneous
What's new?
The latest versions, current news, latest articles.News
8 Oct 2025 · Andrew Savin
We are honored to announce the release of Stimulsoft software version 2025.4 for creating reports, dashboards, and fillable PDF forms!
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Stimulsoft Reports, Dashboards, and PDF Forms version 2025.4 has been released!
Blog
10 Nov 2025 · Tim Crawford
Aggregate functions can be calculated across the entire data source, a band, a group, or a page.
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Specifics of calculating an aggregate function by page