Apache Superset is a business intelligence platform for exploring data and building interactive dashboards.
It caters for users ranging from people who prefer drag-and-drop chart creation to analysts who want to write SQL directly. SQL Lab provides a browser-based SQL environment, while physical and virtual datasets let teams define reusable metrics and provide a consistent basis for chart creation.
Superset connects to a wide range of SQL databases and data engines without introducing its own data ingestion layer. It offers more than 40 built-in visualisation types, interactive filtering, drill-down capabilities, caching, extensible security, and a plugin architecture for custom visualisations.
This is free and open source software.
Key Features
- No-code chart builder with drag-and-drop controls.
- SQL Lab provides a browser-based SQL development environment.
- Physical and virtual datasets for organising reusable analytics.
- Semantic layer for defining metrics and calculated dimensions.
- More than 40 built-in visualisation types.
- Interactive dashboards with native filters and cross-filtering.
- Drill-to-detail and drill-by functionality.
- Jinja templating for more flexible SQL queries.
- Configurable caching for improving chart and dashboard performance.
- Extensible authentication, permissions, and security roles.
- Plugin architecture for adding custom visualisations.
- REST API for integration and automation.
Website: github.com/apache/superset
Support:
Developer: The Apache Software Foundation
License: Apache License 2.0

Superset is written in TypeScript and Python. Learn TypeScript with our recommended free books and free tutorials. Learn Python with our recommended free books and free tutorials.
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|---|---|
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| Lightdash | Looker alternative |
| evidence | Code-based alternative to drag-and-drop business intelligence tools |
| Briefer | Collaborative data workspace for teams |
| Shaper | SQL-first analytics and dashboard platform |
| RapidMiner | Data analysis, knowledge discovery, data mining, predictive analytics |
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