# OvertureMaps/data

Overture Maps Data

Repository: https://github.com/OvertureMaps/data
Canonical: https://ross.abutalabs.com/products/overturemaps-data
Homepage: https://docs.overturemaps.org
Language: Python
License: MIT
License Family: permissive
Topics: geoparquet, geospatial-data, overture-maps
Last push: 2026-08-12T16:24:04+00:00

## Health v2 (maintenance only)
Score: 72/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 97, release rhythm 35, longevity 81
- inputs: {"age_days": 1142, "days_push": 21, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1159, forks 47 (observed 2026-08-28T04:03:48.988320+00:00)

## What it is
The Overture Maps Data repository hosts and documents access to Overture Maps Foundation's open global map datasets, distributed as cloud-native GeoParquet files partitioned by theme (addresses, base, buildings, divisions, places, transportation) on Amazon S3 and Azure Blob Storage. It includes a Python CLI for downloading data by bounding box and supports SQL queries via DuckDB and other engines.

## Use cases
- download building footprints for a bounding box as geo
- query places data with duckdb to find businesses in an area
- extract addresses and transportation data for gis analysis
- load open map data into qgis or arcgis
- join my own dataset to overture features using gers ids
- analyze global building footprints at scale with spark or athena

## When to choose
- you need free, openly licensed global map data in cloud-native parquet format
- you want to query large-scale geospatial data with SQL engines like DuckDB, Athena, or Spark
- you need stable identifiers (GERS) to link your data to map features
- you want to download only a small area of interest instead of whole-planet files

## When to avoid
- you need a single downloadable file of the entire planet
- you need real-time or continuously updated map data rather than monthly releases
- you need a turnkey map rendering service rather than raw datasets
- you want to contribute schema changes, which belong in the separate schema repository

## Facets
- artifact type: dataset
- maturity: active
- function: geospatial, data-science, search-engine
- domain: analytics
- platform: cloud, python, cli, cross-platform
- tags: geoparquet, overture-maps, open-data, parquet, gis, s3, azure, duckdb, stac, gers, maps, geospatial, data-engineering

## Member repositories
- OvertureMaps/data (main) score 72

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:48.988320+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 2026-08-30T06:31:52.020133+00:00, confidence not recorded.
  - readme: https://github.com/OvertureMaps/data (fetched 2026-08-28T04:03:48.988320+00:00, sha b036992b8b70)
  - homepage: https://docs.overturemaps.org (fetched 2026-08-29T12:36:33.175212+00:00, sha 6b74ad80ab0f)
  - site_page: https://docs.overturemaps.org/release-calendar (fetched 2026-08-29T12:36:33.184543+00:00, sha 7228ae8bb17c)
  - site_page: https://docs.overturemaps.org/getting-data (fetched 2026-08-29T12:36:33.186712+00:00, sha 6fa597cc8bbc)
- Data as of 2026-08-30T08:39:29.467469+00:00.