# amundsen-io/amundsen

Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

Repository: https://github.com/amundsen-io/amundsen
Canonical: https://ross.abutalabs.com/products/amundsen
Homepage: https://www.amundsen.io/amundsen/
Language: Python
License: Apache-2.0
License Family: permissive
Topics: amundsen, metadata, data-catalog, data-discovery, linuxfoundation
Last push: 2026-08-20T19:59:18+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 8, longevity 100
- inputs: {"age_days": 2668, "days_push": 13, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4782, forks 961 (observed 2026-08-28T04:08:59.647048+00:00)

## What it is
Amundsen is an open-source data discovery and metadata engine that indexes data resources such as tables, dashboards, and streams, and powers usage-based search across them. It consists of a React/Flask frontend, a search service backed by Elasticsearch, a metadata service backed by Neo4j or Apache Atlas, and a databuilder ingestion library.

## Use cases
- find the right table for analysis across a large data warehouse
- search company datasets by usage popularity
- build an internal data catalog for analysts and engineers
- discover who owns a dataset and how it is used
- index dashboards and streams alongside tables
- browse table schema and lineage metadata

## When to choose
- your organization needs a self-hosted, Google-like search over data assets
- you want a mature, foundation-hosted data catalog with microservice architecture
- you need usage-based ranking of datasets to aid discovery

## When to avoid
- you only need lightweight documentation of a handful of datasets
- you cannot operate Elasticsearch plus Neo4j/Atlas infrastructure
- you want a fully managed SaaS catalog without self-hosting

## Facets
- artifact type: application
- maturity: active
- function: search-engine, web-framework, etl, data-science
- domain: analytics, databases, big-data, self-hosted
- platform: python, self-hosted
- tags: data-catalog, metadata, data-discovery, elasticsearch, neo4j, microservices, data-governance, data-engineering, search, docker, web-server, linux, macos

## Member repositories
- amundsen-io/amundsen (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:59.647048+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 2026-08-29T18:18:43.520627+00:00, confidence not recorded.
  - readme: https://github.com/amundsen-io/amundsen (fetched 2026-08-28T04:08:59.647048+00:00, sha 89c4ff80c35f)
  - homepage: https://www.amundsen.io/amundsen/ (fetched 2026-08-29T09:02:05.881719+00:00, sha a07ba8291a4a)
- Data as of 2026-08-30T08:39:29.467469+00:00.