geopandas/geopandas
Python tools for geographic data observed · 2026-08-28
Health v2 · maintenance only
88/100
- Activity 99
- Release rhythm 66
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 92.5
- age_days: 4815
- days_rel: 68
- days_push: 7
- n_releases_24m: 5
Adoption not part of the score
5230 stars · 1049 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
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
library · maturity stable
data-science geospatial file-system data-science python cross-platform pandas gis shapely geoparquet spatial-analysis crs shapefiles geospatial maps
2 sources
- readme: https://github.com/geopandas/geopandas · fetched 2026-08-28 · c5712a622254
- registry_pypi: https://pypi.org/pypi/geopandas/json · fetched 2026-08-29 · 3e3b8c418aff
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| geopandas/geopandas | main | 88 |
For agents
markdown · JSON · MCP: product_card(name="geopandas/geopandas")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem