{"categories":[{"label":"Visualization","url":"https://skillfed.io/packages/category/scientific-engineering-visualization"},{"label":"GIS","url":"https://skillfed.io/packages/category/scientific-engineering-gis"}],"enrichment":{"capability":"folium builds interactive web maps by combining Python data manipulation with Leaflet.js, letting you create and customize maps programmatically and render them as HTML.","skillfed_tags":["geospatial","web-visualization","jupyter-friendly"],"use_cases":["Visualize GPS traces, sensor locations, or field survey points on an interactive map in a Jupyter notebook","Build a web dashboard showing real-time or historical geographic data with markers, heatmaps, and layer controls","Create choropleth maps from GeoJSON boundaries and pandas DataFrames to show regional statistics","Generate static map images or interactive HTML files for reports, presentations, or web embedding","Prototype geographic applications before committing to a full mapping framework"],"what_it_does":"folium is a Python library that bridges data analysis and web mapping by wrapping Leaflet.js, a popular JavaScript mapping library. You write Python code to define map features\u2014markers, polygons, popups, layers\u2014and folium generates interactive HTML maps that can be embedded in web pages, Jupyter notebooks, or saved as standalone files. The library integrates with the Python data ecosystem through dependencies like numpy and jinja2, and uses xyzservices to access basemap tile providers.\n\nTypical workflows involve loading geographic data in Python, processing it with standard tools, then using folium to visualize the results as an interactive web map. The library handles the translation from Python objects to Leaflet.js configuration, so you don't write JavaScript directly. It's designed for exploratory analysis, dashboard building, and sharing geographic insights in a format that works in any web browser.","worth_installing":"Yes. folium is production-stable, actively maintained, has no known vulnerabilities, and installs with minimal friction. It's the standard choice for Python developers who need interactive web maps without learning JavaScript or deploying a mapping server. Use it if you're working with geographic data in Python and want to visualize it interactively."},"id":"folium","links":{"html":"https://skillfed.io/packages/folium","md":"https://skillfed.io/packages/folium.md","pypi":"https://pypi.org/project/folium/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-06-16","license_spdx":null,"license_treatment":"permissive","name":"folium","python_support":"supports_current","summary":"Make beautiful maps with Leaflet.js & Python"},"popularity":{"monthly_downloads":7186642,"position":1773,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.20.0"}