# geopandas/geopandas

Python tools for geographic data

Repository: https://github.com/geopandas/geopandas
Canonical: https://ross.abutalabs.com/products/geopandas
Homepage: http://geopandas.org/
Language: Python
License: BSD-3-Clause
License Family: permissive
Topics: geoparquet, geospatial, pandas, python, spatial
Last push: 2026-08-26T11:32:29+00:00

## Health v2 (maintenance only)
Score: 88/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 66, longevity 100
- inputs: {"age_days": 4815, "days_push": 7, "days_rel": 68, "gap_med": 92.5, "n_releases_24m": 5}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5230, forks 1049 (observed 2026-08-28T04:09:13.438881+00:00)

## What it is
GeoPandas is a Python library that extends pandas with geographic data types like GeoSeries and GeoDataFrame, built on shapely geometry objects. It supports reading/writing spatial file formats, coordinate reference system handling, and geometric operations.

## Use cases
- work with shapefiles and geospatial data in python
- perform spatial joins and geometric operations on dataframes
- convert coordinates between CRS projections
- read and write geoparquet files
- plot maps from tabular geographic data
- analyze points polygons and lines with pandas

## When to choose
- you want pandas-like workflows for geographic vector data
- you need spatial operations like buffering, intersection, or spatial joins
- you work with GIS file formats like shapefile, GeoJSON, or GeoParquet

## When to avoid
- you need raster data processing rather than vector data
- you need web mapping or tile serving rather than data analysis
- you need high-performance geospatial databases rather than in-memory analysis

## Facets
- artifact type: library
- maturity: stable
- function: data-science, geospatial, file-system
- domain: data-science
- platform: python, cross-platform
- tags: pandas, gis, shapely, geoparquet, spatial-analysis, crs, shapefiles, geospatial, maps

## Member repositories
- geopandas/geopandas (main) score 88

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:13.438881+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 2026-08-29T17:59:39.507259+00:00, confidence not recorded.
  - readme: https://github.com/geopandas/geopandas (fetched 2026-08-28T04:09:13.438881+00:00, sha c5712a622254)
  - registry_pypi: https://pypi.org/pypi/geopandas/json (fetched 2026-08-29T08:55:29.559820+00:00, sha 3e3b8c418aff)
- Data as of 2026-08-30T08:39:29.467469+00:00.