Choosing the right Python library for mapping and visualization can be challenging given the variety of options. This guide compares six popular libraries: Folium for interactive Leaflet maps, PlotNine for grammar-of-graphics plotting, LeafMap for lightweight mapping, PyGal for SVG charts, CartoPy for geospatial projections, and floWeaver for flow diagrams. Each library has strengths depending on your use case—whether you need web interactivity, publication-quality static maps, or quick data exploration. We highlight key features, typical use cases, and performance considerations to help you make an informed decision. This overview is valuable for data scientists, GIS analysts, and Python developers building dashboards or reports. By understanding the trade-offs, you can avoid over-engineering and pick the simplest tool that meets your needs.
A practical overview of Python libraries for mapping and visualization, helping developers choose the right tool for geospatial and statistical plots.