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Superset

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Updated: 23 May 2025
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Apache Superset is a Data Visualization and Data Exploration Platform

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Overview

Superset is a modern, enterprise-ready business intelligence web application that offers data exploration and visualization capabilities. It provides a no-code interface for building charts quickly, a powerful web-based SQL Editor for advanced querying, and support for various data sources. Superset is highly extensible, offering a wide array of beautiful visualizations and is designed for scalability with a cloud-native architecture.

Features

  • No-Code Chart Builder: Easily build charts without the need for coding.
  • Powerful SQL Editor: Advanced querying capabilities with a web-based SQL editor.
  • Custom Dimensions and Metrics: Define custom dimensions and metrics quickly with a lightweight semantic layer.
  • Support for SQL Databases: Out of the box support for almost any SQL database or data engine.
  • Beautiful Visualizations: Range of visualizations from bar charts to geospatial visualizations.
  • Configurable Caching Layer: Lightweight caching layer to reduce database load.
  • Extensible Security Roles: Highly customizable security roles and authentication options.
  • Programmatic Customization: An API for programmatic customization.

Installation

To install Superset, follow these steps:

  1. Install using PyPI: pip install apache-superset
  2. Initialize the database: superset db upgrade
  3. Create an admin user: superset init
  4. Start the web server: superset run -p 8088 --with-threads --reload --debugger

For advanced installation and configuration details, refer to the extended documentation on the Superset website.

Summary

Superset is a versatile business intelligence tool that offers a range of features including no-code chart building, advanced SQL querying, custom dimensions and metrics, and support for various data sources. With a focus on beautiful visualizations, extensibility, and scalability, Superset is a modern data exploration platform suitable for enterprise use. Installation is straightforward via PyPI, and the platform provides detailed documentation and resources for users and contributors.