# chrieke/prettymapp

🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp

Repository: https://github.com/chrieke/prettymapp
Canonical: https://ross.abutalabs.com/products/prettymapp
Language: Python
License: MIT
License Family: permissive
Topics: osm, map, geography, cartography, art, app, streamlit, prettymaps
Last push: 2026-07-08T14:24:28+00:00

## Health v2 (maintenance only)
Score: 82/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 91, release rhythm 60, longevity 100
- inputs: {"age_days": 1801, "days_push": 56, "days_rel": 56, "gap_med": 194, "n_releases_24m": 4}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2809, forks 460 (observed 2026-08-28T04:07:23.630077+00:00)

## What it is
Prettymapp is a Python package and Streamlit webapp that generates stylized, artistic maps from OpenStreetMap data. It is a speed-focused rewrite of the prettymaps project with simplified configuration and predefined color styles.

## Use cases
- create beautiful artistic maps from OpenStreetMap data
- generate a stylized poster of my city or neighborhood
- render a map of an address with a custom color style
- plot exported OSM XML files as artwork
- build a webapp for users to design custom map prints

## When to choose
- you want quick, attractive stylized maps from OSM data with minimal configuration
- you prefer a hosted or local Streamlit webapp over complex plotting setups
- you want a simple Python API to customize map styles and layers

## When to avoid
- you need the full advanced configuration options of the original prettymaps project
- you need precise cartographic or navigational maps rather than artistic renderings
- you need a non-Python or fully tested production-grade mapping library

## Facets
- artifact type: application
- maturity: active
- function: data-visualization, geospatial, web-scraping
- domain: data-visualization
- platform: python, cross-platform
- tags: openstreetmap, streamlit, map-art, prettymaps, geopandas, maps, cartography, web-server

## Member repositories
- chrieke/prettymapp (main) score 82

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:23.630077+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 2026-08-29T18:49:03.275593+00:00, confidence not recorded.
  - readme: https://github.com/chrieke/prettymapp (fetched 2026-08-28T04:07:23.630077+00:00, sha 51905e04a12a)
  - registry_pypi: https://pypi.org/pypi/prettymapp/json (fetched 2026-08-29T09:54:12.507788+00:00, sha caa18c614c2b)
- Data as of 2026-08-30T08:39:29.467469+00:00.