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2 repository-uri

Awesome GitHub RepositoriesNo-Code Visualizations

Interfaces for generating charts and maps without writing queries or code.

Distinct from No-Code Database Interfaces: Focuses on the visual output (charts/maps) rather than just the record-management interface of a no-code database.

Explore 2 awesome GitHub repositories matching data & databases · No-Code Visualizations. Refine with filters or upvote what's useful.

Awesome No-Code Visualizations GitHub Repositories

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • apache/incubator-supersetAvatar apache

    apache/incubator-superset

    73,325Vezi pe GitHub↗

    This project is a business intelligence suite and SQL data visualization platform used for data analysis, reporting, and monitoring. It provides a web application for exploring datasets and building interactive dashboards, complemented by a web-based SQL query editor for analyzing raw data from connected stores. The platform features a semantic data layer to define standardized metrics and dimensions, ensuring consistent data interpretation across reports. It includes a security framework with role-based access control to manage user permissions and authentication across shared dashboards. T

    Enables the generation of charts and geospatial maps using a no-code interface to showcase trends.

    TypeScript
    Vezi pe GitHub↗73,325
  • frappe/frappeAvatar frappe

    frappe/frappe

    10,291Vezi pe GitHub↗

    Frappe is a Python-based low-code web framework used for building data-driven business applications. It functions as a full-stack meta-framework that integrates a Python backend with a JavaScript frontend, providing a development environment for rapid application prototyping and deployment. The framework employs a model-driven architecture that automatically generates database schemas, REST API endpoints, and administrative interfaces based on defined metadata. This system is complemented by a command-line scaffolding tool for creating standardized project directory structures and boilerplate

    Provides a graphical drag-and-drop interface for creating data visualizations and business reports without writing code.

    Pythoncmsemailerpnext
    Vezi pe GitHub↗10,291
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