Ross ROSS = Recommend OSS · open-source software intelligence for agents

apache/superset

Apache Superset is a Data Visualization and Data Exploration Platform observed · 2026-08-28

github.com/apache/superset · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

98/100

  • Activity 99
  • Release rhythm 97
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 5
  • age_days: 4061
  • days_rel: 20
  • days_push: 7
  • n_releases_24m: 44

Full methodology

Adoption not part of the score

74471 stars · 18181 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

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

application · maturity stable

data-visualization search-engine web-framework caching auth api-framework data-visualization analytics data-science self-hosted python self-hosted cross-platform business-intelligence dashboards sql-editor sqlalchemy flask react no-code-chart-builder semantic-layer docker kubernetes web-server

10 sources

Member repositories

RepositoryRoleHealth v2
apache/supersetmain98

For agents

markdown · JSON · MCP: product_card(name="apache/superset")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem