We've looked into various geospatial data visualization libraries such as:
However, since we cater to large enterprises with utility grade data use cases, only GeoPandas and Shapely meet the following criteria:
Hi Rafael, what were the pros and cons of the various libraries that you tried?
The pros of GeoPandas and Shapely are that they fulfill all criteria that matter to corporations. The cons are that some other libraries outshine GeoPandas and Shapely in selected areas. For example, I personally like using Folium, but that library falls through the cracks because it does not meet all our enterprise criteria, and that is:
If you are a singular user, some of those criteria might matter less to you. However, if you work in a large and/or highly regulated enterprise, they do all. If you work for a bank, insurance or manufacturer, it's not only a matter of what you like using but what makes sense from a corporate viewpoint.
More specifically, we do not measure by categorical values (library x fulfills criteria 1. -6. YES/NO) but numerically on a scale between 0 and 10. For example, sufficient amount of documentation available is an issue with nearly all geospatial data visualization libraries we looked into. Sometimes it was a matter of choosing between "barely sufficient" and "close to nothing".