apache-superset
A modern, enterprise-ready business intelligence web application
Decision gist · record as of 2026-08-14
Yes. Apache Superset is actively maintained, permissively licensed, has low install friction, and is widely used for self-service analytics and BI. Install it if you need a self-hosted, open-source alternative to proprietary BI platforms and have a SQL database to connect. Be prepared for operational overhead: you'll need to manage a web server, database backend, Celery workers, and initial configuration. No known vulnerabilities as of the query date.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- A database backend (PostgreSQL, MySQL, etc.) and a web server like gunicorn are needed for production deployment.
- Initial setup requires database migrations and admin initialization.
License · maintenance · safety
permissive license (permissive) — Licensed under Apache License 2.0, a permissive open-source license. You can use, modify, and distribute Superset freely in commercial and private projects, provided you include license notices and attribute the original work.
last release 2026-05-13 (93 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,131,339 downloads/mo, #4,318 on PyPI
Alternatives
Verify before relying
pip install apache-superset
from superset import create_app
app = create_app()
# Then run via gunicorn or Flask development server
# superset db upgrade
# superset init
# gunicorn superset.app:create_app()- Specific database engines and versions supported beyond 'any SQL-speaking datastore'
- Performance characteristics and scalability limits for large datasets or concurrent users
- Authentication and RBAC feature completeness relative to enterprise requirements
- Extensibility and customization effort for non-standard visualizations or data sources
What it is and what it does
Apache Superset is a modern, web-based business intelligence platform designed for data exploration and visualization. It provides a no-code chart builder for quick analysis, a powerful SQL editor for advanced queries, and a semantic layer for defining custom dimensions and metrics. The platform integrates with any SQL database or data engine that has a Python DB-API driver and SQLAlchemy dialect, making it broadly compatible across data sources.
Superset is deployed as a Flask web application backed by Celery for asynchronous tasks, with support for caching, role-based access control, and extensible authentication. It ships with a wide range of built-in visualizations and is designed for cloud-native deployment at scale. The package includes gunicorn for serving and supports Docker and Kubernetes deployments, making it suitable for teams replacing or augmenting proprietary BI tools.
Use it for
- Build interactive dashboards and charts from SQL databases without writing code or custom visualization logic
- Enable business analysts to explore and query data independently using a web-based SQL editor and semantic layer
- Replace proprietary BI tools by hosting Superset on your own infrastructure with full control over data and access
- Create geospatial visualizations and time-series dashboards for operational monitoring and reporting
- Set up multi-tenant analytics with role-based security and configurable caching for database load management
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Apache Superset is actively maintained, permissively licensed, has low install friction, and is widely used for self-service analytics and BI. Install it if you need a self-hosted, open-source alternative to proprietary BI platforms and have a SQL database to connect. Be prepared for operational overhead: you'll need to manage a web server, database backend, Celery workers, and initial configuration. No known vulnerabilities as of the query date.
Install
apache-superset on PyPI
Before you install
Low install friction with a pure Python wheel distribution. Actively maintained with a recent release. Requires Python 3.10 or later and brings 67 runtime dependencies including Flask, Celery, and database connectivity libraries—typical for a full-stack web application.
Requires Python 3.10 or later. A database backend (PostgreSQL, MySQL, etc.) and a web server like gunicorn are needed for production deployment. Initial setup requires database migrations and admin initialization.
License in practice
Licensed under Apache License 2.0, a permissive open-source license. You can use, modify, and distribute Superset freely in commercial and private projects, provided you include license notices and attribute the original work.
Quickstart
pip install apache-superset
from superset import create_app
app = create_app()
# Then run via gunicorn or Flask development server
# superset db upgrade
# superset init
# gunicorn superset.app:create_app()Verify before relying
- Specific database engines and versions supported beyond 'any SQL-speaking datastore'
- Performance characteristics and scalability limits for large datasets or concurrent users
- Authentication and RBAC feature completeness relative to enterprise requirements
- Extensibility and customization effort for non-standard visualizations or data sources
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 67 packagesapache-superset-corebackoffceleryclickclick-option-groupcoloramaflask-corscronitercron-descriptorcryptographydeprecationflaskflask-appbuilderflask-cachingflask-compressflask-talismanflask-loginflask-migrateflask-sessionflask-wtfgeopygreenletgunicornhashidsholidayshumanizeisodatejsonpath-ngMakomarkdown |
| Maintenance | Actively maintained 93 days since the last release |
| First released | |
| Downloads | 1,131,339 / month, #4,318 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12 |
Evidence: apache_superset-6.1.0-py3-none-any.whl
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See also apache-superset-core · superset-showtime · sqlalchemy-drill · vanna · esphome-dashboard · apache-airflow-task-sdk · apache-airflow-providers-microsoft-mssql · sf-hamilton · apache-airflow-providers-apache-drill · reflex-components-plotly