# ResidentMario/geoplot

High-level geospatial data visualization library for Python.

Repository: https://github.com/ResidentMario/geoplot
Canonical: https://ross.abutalabs.com/products/geoplot
Homepage: https://residentmario.github.io/geoplot/index.html
Language: Python
License: MIT
License Family: permissive
Topics: geospatial-visualization, geospatial-data, matplotlib, geopandas, spatial-analysis
Last push: 2024-06-08T05:53:23+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3718, "days_push": 816, "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 1211, forks 99 (observed 2026-08-28T04:04:00.140525+00:00)

## What it is
geoplot is a high-level Python geospatial plotting library built as an extension to cartopy and matplotlib, described as 'like seaborn for geospatial'. It provides a high-level plotting API for standard map types with native support for map projections.

## Use cases
- plot choropleth maps from geopandas dataframes
- visualize point densities on a map in python
- make maps with map projections in matplotlib
- plot spatial distributions like a geography textbook map
- create kernel density or hexbin maps of geographic data

## When to choose
- you work with geopandas/matplotlib and want quick, high-level cartographic plots
- you need standard map types (choropleths, KDE maps, sankey/point plots) with projection support
- you want seaborn-style concise syntax for geospatial visualization

## When to avoid
- you need actively developed features or new plot types - the project is in maintenance mode
- you need interactive web-based maps (consider folium or plotly instead)
- you need fine-grained low-level cartographic control

## Facets
- artifact type: library
- maturity: maintenance
- function: data-visualization, geospatial
- domain: data-visualization, data-science
- platform: python, cross-platform
- tags: geopandas, matplotlib, cartopy, maps, spatial-analysis, seaborn-like

## Member repositories
- ResidentMario/geoplot (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:00.140525+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 2026-08-30T06:18:02.852723+00:00, confidence not recorded.
  - readme: https://github.com/ResidentMario/geoplot (fetched 2026-08-28T04:04:00.140525+00:00, sha dff8fdf49068)
  - homepage: https://residentmario.github.io/geoplot/index.html (fetched 2026-08-29T12:26:04.931981+00:00, sha eb4ecc497f82)
  - registry_pypi: https://pypi.org/pypi/geoplot/json (fetched 2026-08-29T12:26:04.934413+00:00, sha 6e9834ba94b6)
- Data as of 2026-08-30T08:39:29.467469+00:00.