😎🔎Several useful geodata Python libraries
gmaps is a library for working with Google maps. Designed for visualization and interaction with Google geodata.
Leafmap is an open source Python package for creating interactive maps and geospatial analysis. It allows you to analyze and visualize geodata in a few lines of code in the Jupyter environment (Google Colab, Jupyter Notebook and JupyterLab)
ipyleaflet is an interactive widget library that allows you to visualize maps
Folium is a Python library for easy geodata visualization. It provides a Python interface to leaflet.js, one of the best JavaScript libraries for creating interactive maps. This library also allows you to work with GeoJSON and TopoJSON files, create background cartograms with different palettes, customize tooltips and interactive inset maps.
geopandas is a library for working with spatial data in Python. The main object of the GeoPandas module is the geodataframe, which is exactly the same as the Pandas dataframe definition, but also includes a Geometry field that contains the definition of the feature.