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apache superset
Apache Superset is a Data Visualization and Data Exploration Platform
Stars
74,612
Forks
18,227
Watchers: 74,612
Language
License: Apache License 2.0
Repository Radar Score
67 / 100
Growth
- 7d
- +0
- 30d
- +0
- %
- 0.0%
Not enough metric snapshots yet to chart growth for this repository.
Score breakdown
- popularity 92
- growth 0
- activity 100
- freshness 100
- community 90
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A modern, enterprise-ready business intelligence web application.
- User Guide — For analysts and business users. Explore data, build charts, create dashboards, and connect databases.
- Administrator Guide — Install, configure, and operate Superset. Covers security, scaling, and database drivers.
- Developer Guide — Contribute to Superset or build on its REST API and extension framework.
Why Superset? | Supported Databases | Release Notes | Get Involved | Resources | Organizations Using Superset
Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.
Superset provides:
- A no-code interface for building charts quickly
- A powerful, web-based SQL Editor for advanced querying
- A lightweight semantic layer for quickly defining custom dimensions and metrics
- Out of the box support for nearly any SQL database or data engine
- A wide array of beautiful visualizations to showcase your data, ranging from simple bar charts to geospatial visualizations
- Lightweight, configurable caching layer to help ease database load
- Highly extensible security roles and authentication options
- An API for programmatic customization
- A cloud-native architecture designed from the ground up for scale
Video Overview
superset-video-1080p.webm
Large Gallery of Visualizations
Craft Beautiful, Dynamic Dashboards
No-Code Chart Builder
Powerful SQL Editor
Superset can query data from any SQL-speaking datastore or data engine (Presto, Trino, Athena, and more) that has a Python DB-API driver and a SQLAlchemy dialect.
Here are some of the major database solutions that are supported:
A more comprehensive list of supported databases along with the configuration instructions can be found here.
Want to add support for your datastore or data engine? Read more here about the technical requirements.
Try out Superset's quickstart guide or learn about the options for production deployments.
- Ask and answer questions on StackOverflow using the apache-superset tag
- Join our community's Slack and please read our Slack Community Guidelines
- Join our dev@superset.apache.org Mailing list. To join, simply send an email to dev-subscribe@superset.apache.org
- Follow us on social media: X | LinkedIn | Bluesky | Reddit
- If you want to help troubleshoot GitHub Issues involving the numerous database drivers that Superset supports, please consider adding your name and the databases you have access to on the Superset Database Familiarity Rolodex
- Join Superset's Town Hall and Operational Model recurring meetings. Meeting info is available on the Superset Community Calendar
Interested in contributing? Check out our Developer Guide to find resources around contributing along with a detailed guide on how to set up a development environment.
- Superset "In the Wild" - see who's using Superset, and add your organization to the list!
- Feature Flags - the status of Superset's Feature Flags.
- Standard Roles - How RBAC permissions map to roles.
- Superset Wiki - Tons of additional community resources: best practices, community content and other information.
- Superset SIPs - The status of Superset's SIPs (Superset Improvement Proposals) for both consensus and implementation status.
Understanding the Superset Points of View
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Getting Started with Superset
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Deploying Superset
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Recordings of Past Superset Community Events
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Visualizations
Languages
Share of the codebase by language, based on repository metadata from the host.
- Python 41.1%
- TypeScript 38.0%
- Jupyter Notebook 18.2%
- HTML 2.1%
- JavaScript 0.3%
- Shell 0.2%
- Go Template 0.1%
- Dockerfile 0.0%
- Jinja 0.0%
- Makefile 0.0%
- CSS 0.0%
- Pug 0.0%
- Mako 0.0%
Repository Radar analysis
Deterministic insights derived from public metadata and our observations — not personal testing or reviews.
Why this repository is interesting
- High absolute popularity (74,612 stars) signals broad adoption.
- Maintained recently (last push 2 weeks ago).
Who should use it
- Developers working primarily with Python
- Platform and DevOps engineers
- Frontend engineers comparing UI frameworks and tools
Potential use cases
- Reference or evaluate Python open-source approaches in this domain
- Evaluate automation, CI/CD, or infrastructure patterns
Strengths
- Recent repository activity
- README present in our index
- Declared license: Apache License 2.0
- Substantial fork count (18,227) suggests reuse and contribution interest
Limitations / considerations
- Insights are derived from public metadata and our observations — not a substitute for code review
What to watch
- Re-check last push, issues, and releases on GitHub before production adoption
Strong signals: Strong community interest · Active maintenance
Source: GitHub (public metadata) + Repository Radar analysis. We do not claim ownership of third-party repositories.
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