calls lonboard “Python/Jupyter-native high-performance geospatial viewer; choose it for Python-only workflows without React.”
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
lonboard is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named lonboard among their alternatives. The relationship is not symmetric — how lonboard rates them is a separate judgement, made when lonboard is analysed in its own right.
calls lonboard “Python/Jupyter-native high-performance geospatial viewer; choose it for Python-only workflows without React.”
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
calls lonboard “Pick it for GPU-accelerated rendering of very large geospatial datasets inside notebooks via Python, not for a standalone cross-platform GIS UI.”
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 lonboard “Choose lonboard for large-vector rendering in Jupyter with deck.gl; leafmap is broader mapping/analysis with folium/ipyleaflet.”
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment