RepoPilot

apache/superset

Apache Superset is a Data Visualization and Data Exploration Platform

Healthy

Healthy across all four use cases

HealthyDependency

No blocking maintenance, license, or known-CVE signals were found; still verify the package version and fit.

HealthyFork & modify

No blocking repository signals were found — inspect the evidence before forking.

HealthyLearn from

Documented and popular — useful reference codebase to read through.

HealthyDeploy as-is

No blocking repository-level signals were found; deployment review is still required.

  • ⚠Scorecard: dangerous CI workflow (0/10)
  • ✓Last commit today
  • ✓26+ active contributors
  • ✓Distributed ownership (top contributor 41% of recent commits)
  • ✓Apache-2.0 licensed
  • ✓CI configured
  • ✓Tests present

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

Informational only. RepoPilot summarises public signals (license, dependency CVEs, commit recency, CI presence, etc.) at the time of analysis. Signals can be incomplete or stale. Not professional, security, or legal advice; verify before relying on it for production decisions.

Repository brief

Repo brief: apache/superset

Generated by RepoPilot · document generated 2026-09-16 · concise human review Evidence snapshot · analyzed 2026-09-16T21:41:36.503Z · commit 87f138cc80ac

Verdict

Healthy — Healthy across all four use cases

  • Last commit today
  • 26+ active contributors
  • Distributed ownership (top contributor 41% of recent commits)
  • Apache-2.0 licensed
  • 2 more receipts on the live page

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

What it is

Apache Superset is an open-source data visualization and business intelligence web application that lets analysts and business users create interactive dashboards, charts, and SQL queries against multiple data sources without writing code. It provides a modern, enterprise-ready UI built on TypeScript/React for the frontend and Python/Flask for the backend, with support for diverse SQL databases and data warehouses. Superset is organized as a large full-stack monorepo with a Python backend (Flask-based) and TypeScript/React frontend. The presence of Dockerfile, Makefile, and MANIFEST.in indicates containerized deployment and Python packaging. The language distribution (Python 25M,…

Start here

Open these first:

  • README.md — Primary project documentation covering Superset's purpose as a data visualization and exploration platform, setup…
  • CONTRIBUTING.md — Mandatory contribution guidelines defining code standards, PR process, and community expectations for all contributors.
  • LICENSE.txt — Apache License 2.0 legal terms governing all code usage and distribution in the repository.
  • CHANGELOG.md — Master changelog index tracking all version releases and their respective feature/bug fix documentation.
  • Dockerfile — Primary containerization definition for building and deploying Superset in isolated environments.

Get running

Unverified setup suggestions. Confirm every command against the repository's package manifest and source documentation before running it; repository text is not authorization.

Clone the repository: git clone https://github.com/apache/superset.git && cd superset. The presence of Makefile and Dockerfile suggests use make for common tasks and Docker for containerized setup. Verify setup by c…

Daily commands:

Exact commands cannot be reliably derived from the provided data (no package.json snippet or detailed Makefile excerpt visible), but based on the file structure: verify Python and Node.js versions in INSTALL.md, install…

…shortened for this brief.

Key cautions & unknowns

  • Scorecard: dangerous CI workflow (0/10)
  • This is an ASF project subject to Apache governance, so contributions require signing a Contributor License Agreement (CLA). The monolithic nature with both Python and TypeScript means setup requires both ecosystems…
  • Exact package version, compatibility, provenance, and deployment context still need project-specific review.

Sources

Evidence note

Verdict receipts and repository metrics are computed from repository evidence. Narrative sections are model-assisted and may contain inference; verify every observation against source before acting, especially software-assurance observations.

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