Would any of these be useful for working with Johns Hopkins Covid-19 data? There are some web interfaces but analyzing and visualizing with Python would be more flexible.
No mention of H3! The hexagonal spatial index https://eng.uber.com/h3/ . This library has been a game changer for my work. Before I had to create hexagonal grids using shapely and then use spatial joins to aggregate the data. With H3 you can go from a point to a hex really quickly.
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[ 4.3 ms ] story [ 56.2 ms ] thread(https://data.humdata.org/dataset/novel-coronavirus-2019-ncov...).
Here’s the python wrapper for the library- https://github.com/uber/h3-py