Choose lonboard for large-vector rendering in Jupyter with deck.gl; leafmap is broader mapping/analysis with folium/ipyleaflet.
Fast, interactive geospatial data visualization in Jupyter.
- 964
- Python
- MIT
interactive geospatial mapping/analysis in Jupyter
A Python package for interactive mapping and geospatial analysis with minimal coding in Jupyter notebooks.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Choose lonboard for large-vector rendering in Jupyter with deck.gl; leafmap is broader mapping/analysis with folium/ipyleaflet.
Fast, interactive geospatial data visualization in Jupyter.
Choose it when already on the Esri ArcGIS platform; leafmap is vendor-neutral and lighter.
Documentation and samples for ArcGIS API for Python
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Choose geemap if your work is entirely Google Earth Engine; leafmap targets non-GEE Jupyter users.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
Only if maintaining an old Jupyter geospatial notebook extension; unmaintained since 2018.
A Jupyter notebook extension for geospatial visualization and analysis
Choose OSMnx when you only need OpenStreetMap street-network analysis; leafmap is broader interactive mapping/analysis.
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
Choose GeoLibre as a ready-made browser/desktop GIS workspace, not a Python library to embed.
A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs in the web browser, on the desktop, on mobile, and inside Jupyter notebooks.
Choose GRASS for a full desktop GIS processing environment, not for minimal Jupyter mapping code.
GRASS - free and open-source geospatial processing engine
These projects were analysed and named leafmap among their alternatives. The relationship is not symmetric — how leafmap rates them is a separate judgement, made when leafmap is analysed in its own right.
calls leafmap “Python/Jupyter interactive mapping library; choose it for quick minimal-code map workflows in Python notebooks.”
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
calls leafmap “Pick it when you want to script geospatial analysis and interactive maps from Python/Jupyter instead of using a full point-and-click GIS app.”
A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs in the web browser, on the desktop, on mobile, and inside Jupyter notebooks.
calls leafmap “choose it for pure-Python interactive mapping in notebooks without running GeoNotebook's server and tile stack”
A Jupyter notebook extension for geospatial visualization and analysis