Creating dashboardsThe dashboard designer is a key tool in our product, serving as an editor for creating dashboard layouts. Users can connect data from various sources, further structure it using grouping and sorting features, and apply visual design elements.
The dashboard designer is available as a standalone BI Designer application for installation and working on Windows, macOS, and Linux operating systems. Additionally, it is accessible as an online service at designer.stimulsoft.com, offering the same functionality. Explore either the desktop or web version of the tool to familiarize yourself with the designer and its integration into your applications.
Data for dashboardsOne of the key advantages of our product is the variety of data available for creating analytical dashboards within your application. We offer support for a wide range of data servers, including MS SQL, Firebird, MySQL, PostgreSQL, among others. Additionally, you can access data from XML, JSON, Excel, and other file sources. Preliminary preparation and transformation of data, creation of virtual sources, and the ability to embed data directly into a report template as resources are available features. This is just a glimpse of what Stimulsoft products can accomplish with data.
Our tool offers a wide array of elements for designing and editing dashboards, ranging from primitives to buttons that execute various scenarios. Explore the diverse features of Stimulsoft Dashboards.PYTHON:
ChartA graphical element of data analysis, using which the data can be processed and the result is displayed as graphs.
TableA set of data elements that is organized using a model of vertical columns and horizontal rows.
GaugeThe element allows you to display a value within a predefined range. It can have different graphical representation.
Pivot TableA dashboard element designed for processing, grouping, and summarizing data by rows and columns, as well as presenting structured data in tabular form.
IndicatorThe element displays the difference in values between the input data.
Region MapThis element is used to display data that is geographically targeted.
ProgressThe element displays the ratio of the input data. It can be presented in different modes – a pie, donut, bars.
FilterA group of elements designed to filter data in related dashboard components.
Image, Text, ShapeIncorporate photos and images, design and format text, and utilize diverse primitives within your dashboards.
CardsThe component for displaying grouped data as cards.
ButtonThe special element allows you to execute various scripts by click or depending on a condition.
PanelAn element can be used as a container for other dashboard elements.
Dashboard visualizationThe most crucial stage of working with data is their visualization. For this task, the Dashboards.PYTHON product utilizes a special tool - a viewer designed to display ready-made dashboards in Python applications. The dashboard viewer is fully customizable, fast, and user-friendly. To ensure integration into projects, we offer a variety of design themes and options for customizing the application's appearance and functionality.
The viewer supports interactive elements, full-screen viewing of both the entire dashboard and its individual components, and conversion of the analytical panel to PDF, Excel, and HTML formats. The component provides over 40 UI localizations, mobile and desktop workspaces, elements that support animation for visual assessment of changes, and for user convenience, currently unused controls are automatically removed from the panel.