superset vs vizro
Data visualization and dashboard projects compared
superset is a web-based business intelligence platform for exploring SQL data and building dashboards. vizro is a Python toolkit for creating configurable, interactive, multi-page visualization apps, with custom code available for further tailoring.
superset: Explore Data and Build Business Intelligence Dashboards
Apache Superset is a web-based business intelligence platform for exploring SQL data, building visualizations, and creating dashboards. It suits analysts and organizations that want self-service analytics across supported data sources, with administrators managing deployment and access.
vizro: Build Data Visualization Apps with Plotly and Dash
Vizro is a low-code Python toolkit built on Plotly, Dash, and Pydantic for assembling high-quality, multi-page data visualization apps. It suits teams that want quick dashboard configuration with the option to extend and customize in code.
| superset | vizro | |
|---|---|---|
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Stars | 75k | 3.8k |
| Forks | 18.4k | 309 |
| Last analyzed | Oct 3, 2026 | Nov 14, 2026 |
Key differences
- superset provides a broader analytics interface with a SQL editor, semantic layer, and dashboards; vizro focuses on composing dashboard apps from configurable components.
- superset connects to SQL sources using compatible Python DB-API drivers and SQLAlchemy dialects; vizro builds on the Plotly, Dash, and Pydantic ecosystems.
- superset is an application administrators deploy and operate, including configuring security and scaling; vizro is a toolkit for building apps that can be customized with Python and other code.
- Both projects use Python and have Apache-2.0 licenses.
- superset has 75k stars and 18.4k forks; vizro has 3.8k stars and 302 forks.
Choose superset if you…
- need a browser-based interface for exploring data across supported SQL databases.
- want a SQL editor, semantic layer, and dashboards in one BI platform.
- can configure and operate a self-hosted analytics application.
Choose vizro if you…
- want to assemble interactive, multi-page dashboard apps from configuration.
- prefer building in the Plotly, Dash, and Pydantic ecosystem.
- need to extend dashboard components with custom Python, JavaScript, HTML, or CSS.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.