superset open source analysis

Apache Superset is a Data Visualization and Data Exploration Platform

Project overview

⭐ 69162 · TypeScript · Last activity on GitHub: 2025-11-30

GitHub: https://github.com/apache/superset

Why it matters for engineering teams

Apache Superset addresses the challenge of creating interactive and scalable data visualisations within engineering teams. It provides a production ready solution that enables data engineers, analysts, and business intelligence professionals to explore and visualise complex datasets without heavy custom development. Superset is mature and reliable, having been adopted widely in enterprise environments, and supports a self hosted option that offers control over data security and integration. However, it may not be the right choice for teams seeking a lightweight or fully managed SaaS platform, as its setup and maintenance require dedicated resources and familiarity with its architecture.

When to use this project

Superset is a strong choice when teams need an open source tool for engineering teams that supports rich data visualisation and exploration with SQL-based querying. Consider alternatives if your team requires a simpler dashboarding tool or a cloud-native managed service with less operational overhead.

Team fit and typical use cases

Data engineers and BI developers benefit most from Superset, using it to build interactive dashboards and perform ad hoc data analysis. It commonly appears in products and platforms where self hosted options for data visualisation are essential, particularly in organisations with complex data workflows and a need for custom analytics solutions.

Topics and ecosystem

analytics apache apache-superset asf bi business-analytics business-intelligence data-analysis data-analytics data-engineering data-science data-visualization data-viz flask python react sql-editor superset

Activity and freshness

Latest commit on GitHub: 2025-11-30. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.