developmentseed/lonboardGitHub
Python/Jupyter-native high-performance geospatial viewer; choose it for Python-only workflows without React.
Fast, interactive geospatial data visualization in Jupyter.
- 964
- Python
- MIT
active25d ago
keplergl/kepler.gl Alternatives
geospatial data visualization / interactive mapping
Kepler.gl is a web-based, high-performance geospatial visualization and analysis tool for large-scale location data, available as a React component and a Jupyter widget.
Same job, different approach
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
opengeos/GeoLibreGitHub
Cloud-native GIS platform for broader geospatial analysis and mapping; choose it for a full GIS feature set in multiple environments.
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.
- 7.5k
- TypeScript
- MIT
active22d ago
opengeos/leafmapGitHub
Python/Jupyter interactive mapping library; choose it for quick minimal-code map workflows in Python notebooks.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
- 3.8k
- Python
- MIT
active22d ago
Older generation, or narrower
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
OpenGeoscience/geonotebookGitHub
Older Jupyter geospatial viewer, a narrower predecessor for in-notebook map display; effectively unmaintained.
A Jupyter notebook extension for geospatial visualization and analysis
- 1.1k
- Python
- Apache-2.0
dormant7.7y ago
Listed as an alternative to
These projects were analysed and named kepler.gl among their alternatives. The relationship is not symmetric — how kepler.gl rates them is a separate judgement, made when kepler.gl is analysed in its own right.
microsoft/SandDanceGitHub
calls kepler.gl “Choose for geospatial data exploration when a map-centric interface is more important than general-purpose unit visualizations.”
Visually explore, understand, and present your data.
7.1kTypeScriptactive