{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/3"}],"enrichment":{"capability":"Contextily retrieves tile-based map imagery from the internet and overlays it as a basemap on matplotlib figures or exports it to geospatial raster files, supporting both WGS84 and Spheric Mercator coordinate systems.","skillfed_tags":["geospatial","cartography","web-tiles"],"use_cases":["Add OpenStreetMap or Stamen Design basemaps to matplotlib plots for geographic data visualization.","Export downloaded map tiles as GeoTIFF or other raster formats for offline use or further processing.","Quickly prototype geospatial analyses by overlaying vector data on contextual map imagery.","Create web-ready map visualizations by combining local geospatial datasets with standard tile providers.","Support coordinate system conversions between WGS84 and Web Mercator when working with tile-based services."],"what_it_does":"Contextily is a lightweight Python package that fetches map tiles from web services and integrates them into matplotlib visualizations or saves them as geospatial raster files. It abstracts away the complexity of tile coordinate systems, allowing you to work in either WGS84 (latitude/longitude) or Spheric Mercator (Web Mercator) projections. The package leverages xyzservices to provide access to popular tile providers including OpenStreetMap and Stamen Design variants.\n\nTypically used in geospatial analysis workflows, contextily lets you quickly add geographic context to plots without managing tile URLs or coordinate transformations manually. It handles the download, caching, and reprojection of tiles, making it straightforward to create publication-ready maps with minimal code. The package is actively maintained and supports modern Python versions (3.10 and above).","worth_installing":"Yes. Contextily is actively maintained, has no known vulnerabilities, low install friction, and solves a common need in geospatial Python workflows. If you work with matplotlib and geographic data and need quick access to map tiles, it is a straightforward, well-integrated choice."},"id":"contextily","links":{"html":"https://skillfed.io/packages/contextily","md":"https://skillfed.io/packages/contextily.md","pypi":"https://pypi.org/project/contextily/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-10","license_spdx":"BSD-3-Clause","license_treatment":"permissive","name":"contextily","python_support":"supports_current","summary":"Context geo-tiles in Python"},"popularity":{"monthly_downloads":667841,"position":5418,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.7.1"}