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* [Pandas](http://pandas.pydata.org/) - Open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
* [GeoPandas](https://github.com/geopandas/geopandas) - Python tools for geographic data.
* [Shapely](https://pypi.python.org/pypi/Shapely) - Manipulation and analysis of geometric objects in the Cartesian plane.
* [mapboxgl-jupyter](https://github.com/mapbox/mapboxgl-jupyter) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook.
* [Cartopy](http://scitools.org.uk/cartopy/) - A library providing cartographic tools for python for plotting spatial data.
* [Rtree](http://toblerity.org/rtree/) - For efficiently querying spatial data.
* [geoalchemy](https://github.com/geoalchemy/geoalchemy) - Using SQLAlchemy with spatial databases.