# apache/superset

Apache Superset is a Data Visualization and Data Exploration Platform

Repository: https://github.com/apache/superset
Canonical: https://ross.abutalabs.com/products/superset
Homepage: https://superset.apache.org/
Language: Python
License: Apache-2.0
License Family: permissive
Topics: superset, apache, apache-superset, data-visualization, data-viz, analytics, business-intelligence, data-science, data-engineering, asf, bi, business-analytics, data-analytics, data-analysis, python, react, sql-editor, flask
Last push: 2026-08-26T23:24:04+00:00

## Health v2 (maintenance only)
Score: 98/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 97, longevity 100
- inputs: {"age_days": 4061, "days_push": 7, "days_rel": 20, "gap_med": 5, "n_releases_24m": 44}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 74471, forks 18181 (observed 2026-08-28T04:12:21.467176+00:00)

## What it is
Apache Superset is an open-source, enterprise-ready business intelligence web application for data exploration and visualization. It connects to any SQL-speaking database via SQLAlchemy, offering a no-code chart builder, SQL Lab editor, dashboards, and a lightweight semantic layer.

## Use cases
- build interactive dashboards from a SQL database
- explore and visualize warehouse data without writing code
- run ad-hoc SQL queries in a web-based SQL IDE
- replace proprietary BI tools with an open-source alternative
- create geospatial and custom visualizations of business data
- set up self-serve analytics for non-technical teams
- connect to Presto, Trino, or other big-data query engines

## When to choose
- you need a self-hosted BI tool over existing SQL databases
- your team wants no-code chart building plus a powerful SQL editor
- you need role-based security, caching, and a REST API for analytics
- you want petabyte-scale querying delegated to your existing data engine

## When to avoid
- you need row-level joins across tables in the visualization UI
- you want a tool that ingests and stores data itself
- you need pixel-perfect paginated reports rather than interactive dashboards
- you cannot operate Docker/Kubernetes or maintain Python configuration

## Facets
- artifact type: application
- maturity: stable
- function: data-visualization, search-engine, web-framework, caching, auth, api-framework
- domain: data-visualization, analytics, data-science, self-hosted
- platform: python, self-hosted, cross-platform
- tags: business-intelligence, dashboards, sql-editor, sqlalchemy, flask, react, no-code-chart-builder, semantic-layer, docker, kubernetes, web-server

## Member repositories
- apache/superset (main) score 98

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:21.467176+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:14:48.340354+00:00, confidence not recorded.
  - readme: https://github.com/apache/superset (fetched 2026-08-28T04:12:21.467176+00:00, sha 7b790c8857be)
  - homepage: https://superset.apache.org/ (fetched 2026-08-28T17:46:03.405162+00:00, sha 34a223f6aaf6)
  - site_page: https://superset.apache.org/user-docs/databases/ (fetched 2026-08-28T17:46:03.419061+00:00, sha ac1a59fb7acd)
  - site_page: https://superset.apache.org/user-docs/ (fetched 2026-08-28T17:46:03.413714+00:00, sha a84ee08c3e44)
  - site_page: https://superset.apache.org/user-docs/quickstart (fetched 2026-08-28T17:46:03.415506+00:00, sha 7864c0b0a40a)
  - site_page: https://superset.apache.org/user-docs/using-superset/creating-your-first-dashboard (fetched 2026-08-28T17:46:03.416958+00:00, sha 882fc92ee262)
  - site_page: https://superset.apache.org/user-docs/faq (fetched 2026-08-28T17:46:03.421012+00:00, sha 5264575b6754)
  - site_page: https://superset.apache.org/admin-docs/ (fetched 2026-08-28T17:46:03.423356+00:00, sha f41d036f11d4)
  - site_page: https://superset.apache.org/admin-docs/installation/installation-methods (fetched 2026-08-28T17:46:03.424859+00:00, sha a68c2894bf71)
  - site_page: https://superset.apache.org/admin-docs/configuration/configuring-superset (fetched 2026-08-28T17:46:03.426660+00:00, sha 8929e40adb85)
- Data as of 2026-08-30T08:39:29.467469+00:00.