Stimulsoft Dashboards.PYTHON is a robust and efficient tool designed for integrating analytical dashboard creation and visualization capabilities into Python applications and services. It comprises a JavaScript data processing engine, a dedicated designer component for crafting dashboard layouts, and a fully interactive viewer for displaying finished dashboards across various devices. The product empowers users to connect to a wide array of data sources, including popular SQL databases like MS SQL, Firebird, MySQL, and PostgreSQL, as well as file-based sources such as XML, JSON, and Excel. It supports preliminary data preparation, transformation, creation of virtual sources, and direct embedding of data into templates. A key innovation is the integrated Stimul AI assistant, powered by a generative AI model, which aids in verifying, generating, explaining, and optimizing data source connection strings, validating event scripts, and ensuring correct function script execution. The dashboard designer, available as a standalone application for Windows, macOS, and Linux, or as an online service, allows users to structure data with grouping and sorting, and apply diverse visual elements. The viewer component is highly customizable, fast, and user-friendly, supporting interactive elements, full-screen viewing, and export to PDF, Excel, and HTML. It also offers over 40 UI localizations and supports mobile and desktop workspaces. Designed for seamless integration, Stimulsoft Dashboards.PYTHON simplifies the addition of data analytics to Python web projects using frameworks like Django, Flask, and Tornado, requiring minimal code for full functionality.

Features & Benefits

• Dashboard Designer
  • A key tool for creating dashboard layouts, allowing users to connect and structure data from various sources, and apply visual design. Available as a standalone application for Windows, macOS, and Linux, and as an online service.
• Stimul AI Assistant
  • An integrated generative AI model designed to verify, generate, explain, and optimize data source connection strings, validate and convert event scripts, and ensure correct function script execution.
• Extensive Data Source Support
  • Offers connectivity to a wide range of data servers (MS SQL, Firebird, MySQL, PostgreSQL) and file sources (XML, JSON, Excel). Includes features for preliminary data preparation, transformation, virtual source creation, and data embedding.
• Rich Dashboard Elements
  • Provides a diverse array of elements for designing and editing dashboards, from basic primitives to interactive components.
  • Chart
  • Table
  • Gauge
  • Pivot Table
  • Indicator
  • Region Map
  • Progress
  • Filter
  • Image, Text, Shape
  • Cards
  • Button
  • Panel
• Client-Server Event Handler
  • Simplifies data flow automation between the client-side JavaScript component and the Python server, enabling efficient transfer, processing, and return of data with minimal code.
• Interactive Dashboard Viewer
  • A customizable, fast, and user-friendly tool for displaying ready-made dashboards in Python applications.
  • Supports interactive elements
  • Full-screen viewing of dashboards and individual components
  • Conversion to PDF, Excel, and HTML formats
  • Over 40 UI localizations
  • Mobile and desktop workspaces
  • Elements supporting animation for visual assessment
• Seamless Python Integration
  • Designed for easy integration into Python web projects using popular frameworks such as Django, Flask, and Tornado, requiring only package installation and minimal code for full functionality.
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