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2 रिपॉजिटरी

Awesome GitHub RepositoriesEmbedded Analytics Interfaces

Mechanisms for bidirectional communication and data parameter exchange between embedded analytical components and host web applications.

Distinct from Peer-to-Peer Data Exchange: The candidates focus on data storage, P2P protocols, or memory formats; this tag specifically addresses the UI/UX interaction layer for embedded BI components.

Explore 2 awesome GitHub repositories matching user interface & experience · Embedded Analytics Interfaces. Refine with filters or upvote what's useful.

Awesome Embedded Analytics Interfaces GitHub Repositories

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • dataease/dataeasedataease का अवतार

    dataease/dataease

    23,420GitHub पर देखें↗

    DataEase is an open-source, self-hosted business intelligence platform designed for building interactive data visualizations and managing analytical reporting. It provides a centralized environment where users can construct dashboards through a drag-and-drop interface, connecting to diverse data sources including relational databases, data warehouses, and external APIs. The platform distinguishes itself through its focus on embedded analytics and enterprise-grade governance. It allows for the seamless integration of charts, dashboards, and management modules into third-party web applications

    DataDash enables bidirectional communication between the host application and embedded components to filter data dynamically or pass user interactions back to the host system.

    Javaapache-dorisbusiness-intelligencedata-analysis
    GitHub पर देखें↗23,420
  • perspective-dev/perspectiveperspective-dev का अवतार

    perspective-dev/perspective

    10,981GitHub पर देखें↗

    Perspective is a columnar data analytics engine and high-performance visualization component powered by WebAssembly. It provides a system for analyzing and visualizing large or streaming datasets through interactive data grids and charts, utilizing a compiled binary to achieve near-native performance within the browser. The project distinguishes itself through a WebSocket-based data streaming interface and deep Apache Arrow integration, which minimize memory overhead when synchronizing tables between servers and clients. It acts as a remote query proxy capable of translating visualization con

    Integrates professional data grids and charting components directly into web applications for end users.

    C++analyticsbidata-visualization
    GitHub पर देखें↗10,981
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