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