https://github.com/xoolive/cartes

Create great maps in Python 🐍 with openstreetmap 🌍
https://github.com/xoolive/cartes

altair cartopy geopandas geospatial gis maps openstreetmap

Last synced: 5 days ago
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Create great maps in Python 🐍 with openstreetmap 🌍

• Host: GitHub
• URL: https://github.com/xoolive/cartes
• Owner: xoolive
• License: mit
• Created: 2021-01-04T21:20:18.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2025-01-01T23:09:09.000Z (20 days ago)
• Last Synced: 2025-01-10T07:29:35.692Z (12 days ago)
• Topics: altair, cartopy, geopandas, geospatial, gis, maps, openstreetmap
• Language: Python
• Homepage: https://cartes-viz.github.io/
• Size: 8.16 MB
• Stars: 45
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md
  • License: license.txt

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README

        
# Cartes

![tests](https://github.com/xoolive/cartes/workflows/tests/badge.svg)

![docs](https://github.com/xoolive/cartes/workflows/docs/badge.svg)

![Code Coverage](https://img.shields.io/codecov/c/github/xoolive/cartes.svg)

![Checked with mypy](https://img.shields.io/badge/mypy-checked-blue.svg)

![Code style: black](https://img.shields.io/badge/code%20style-black-black.svg)

![License](https://img.shields.io/pypi/l/cartes.svg)\

![PyPI version](https://img.shields.io/pypi/v/cartes)

![PyPI downloads](https://img.shields.io/pypi/dm/cartes)

![Conda version](https://img.shields.io/conda/vn/conda-forge/cartes)

![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/cartes.svg)

Cartes is a Python library providing facilities to produce meaningful maps.

Cartes builds on top of most common Python visualisation libraries (Matplotlib/Cartopy, Altair, ipyleaflet) and data manipulation libraries (Pandas, Geopandas) and provides mostly:

- a **comprehensive set of geographic projections**, built on top of Cartopy and Altair/d3.js;

- an **interface to OpenstreetMap Nominatim and Overpass API**. Result of requests are parsed in a convenient format for preprocessing and storing in standard formats;

- beautiful **default parameters** for quality visualisations;

- **advanced caching facilities**. Do not download twice the same content in the same day.

The cartes library is a powerful asset to **publish clean, lightweight geographical datasets**; and to **produce decent geographical visualisations** in few lines of code.

## Gallery









More in the [documentation](https://cartes-viz.github.io/gallery.html)

## Installation

Latest release:

Recommended for beginners, with conda:

```sh

conda install -c conda-forge cartes

```

or with pip:

```sh

pip install cartes

```

Development version, with uv:

```sh

git clone https://github.com/xoolive/cartes

cd cartes

uv sync --dev

```

## Documentation

![docs](https://github.com/xoolive/cartes/workflows/docs/badge.svg)

Documentation available at https://cartes-viz.github.io/