# opengeospatial/geoparquet

Specification for storing geospatial vector data (point, line, polygon) in Parquet

Repository: https://github.com/opengeospatial/geoparquet
Canonical: https://ross.abutalabs.com/products/geoparquet
Homepage: https://geoparquet.org
Language: Python
License: Apache-2.0
License Family: permissive
Topics: gis, cloud-native, geospatial, apache-parquet, geoparquet
Last push: 2026-08-22T12:59:45+00:00

## Health v2 (maintenance only)
Score: 86/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 61, longevity 100
- inputs: {"age_days": 1860, "days_push": 11, "days_rel": 45, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1084, forks 75 (observed 2026-08-28T04:03:31.358419+00:00)

## What it is
GeoParquet is an OGC-incubating specification for storing geospatial vector data (points, lines, polygons) in Apache Parquet, including required metadata and JSON schemas for validation. The repository hosts the spec, examples, and validation tooling to enable interoperable cloud-native geospatial workflows.

## Use cases
- store vector geodata in parquet
- convert geo to geoparquet
- validate geoparquet files
- share spatial data with cloud data warehouses
- build cloud-native gis pipelines
- read geospatial columns in pandas or qgis

## When to choose
- you need a standard, interoperable format for vector data in Parquet
- your workflows span tools like GeoPandas, QGIS, Snowflake, or BigQuery
- you want columnar, cloud-native storage for large geospatial datasets

## When to avoid
- you need raster imagery rather than vector geometries
- you require a live database with spatial indexing and queries rather than a file format
- your toolchain has no Parquet support

## Facets
- artifact type: dataset
- maturity: active
- function: serialization, geospatial, file-system, developer-tools
- domain: big-data, cloud-computing, databases
- platform: cross-platform, python, cli
- tags: geoparquet, apache-parquet, specification, cloud-native-geospatial, ogc-standard, vector-data, columnar-format, gis, geospatial, data-engineering

## Member repositories
- opengeospatial/geoparquet (main) score 86

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:31.358419+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 2026-08-30T06:50:09.028897+00:00, confidence not recorded.
  - readme: https://github.com/opengeospatial/geoparquet (fetched 2026-08-28T04:03:31.358419+00:00, sha bce9e0f192e7)
  - homepage: https://geoparquet.org (fetched 2026-08-29T12:53:17.750455+00:00, sha 83f6daa82818)
  - site_page: https://geoparquet.org/releases (fetched 2026-08-29T12:53:17.753331+00:00, sha e2889079cffa)
  - site_page: https://geoparquet.org/releases/v2.0.0-rc.1 (fetched 2026-08-29T12:53:17.755374+00:00, sha e5d7f3a6a975)
- Data as of 2026-08-30T08:39:29.467469+00:00.