Leafmap: Interactive Mapping & Geospatial Analysis in Python Leafmap is an open-source Python package for interactive mapping and geospatial analysis — no heavy coding required. Built for Jupyter environments, it lets you explore, visualize, and analyze spatial data with just a few lines of code, or even no code at all. Core capabilities include: 🗺 Interactive maps in one line — quickly load vector & raster data into a map 🗃 Multi-backend support — ipyleaflet, folium, kepler.gl, pydeck, bokeh 🌐 Basemap & tile services — OpenStreetMap, XYZ, WMS, vector tiles, and more 📊 Advanced visualization — split maps, linked maps, heatmaps, choropleths 🛰 Raster & vector analysis — powered by WhiteboxTools (500+ geospatial tools) 📍 Geodata editing & creation — draw, modify, and save features interactively 🔍 Data access & search — STAC, Planetary Computer, AWS Open Data, OpenStreetMap 📈 Time series & animations — visualize spatial change over time 🧠 AI integration — segment and classify imagery with deep learning tools 💻 Web app ready — deploy analyses with Voila, Streamlit, or Solara Applications: 🔹 Remote sensing & environmental monitoring 🔹 Urban planning & infrastructure mapping 🔹 Disaster response & risk assessment 🔹 Education & citizen science projects 📖 Documentation: leafmap.org 💬 GitHub: github.com/opengeos/leafmap 🧠 Credit: opengeos, @giswqs #Leafmap #Geospatial #GIS #RemoteSensing #OpenSource