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* Seaborn: provides an API on top of Matplotlib that offers sane choices for plot style and color defaults, defines simple high-level functions for common statistical plot types, and integrates with the functionality provided by [[Pandas (software)|Pandas]]
* GeoPandas<ref>{{Cite web |title=GeoPandas 0.14.4 — GeoPandas 0.14.4+0.g60c9773.dirty documentation |url=https://geopandas.org/en/stable/ |access-date=2024-04-29 |website=geopandas.org}}</ref>: simplifies geospatial work in Python without needing a spatial database like PostGIS<ref>{{Citation |last=Jordahl |first=Kelsey |title=geopandas: Geographic pandas extensions |url=https://pypi.org/project/geopandas/ |access-date=2024-04-29}}</ref>
* Cartopy: streamlines map creation in matplotlib by enabling users to specify a projection and add coastlines with a single line of code<ref>{{Cite web |title=Using cartopy with matplotlib — cartopy 0.15.0 documentation |url=https://scitools.org.uk/cartopy/docs/v0.15/matplotlib/intro.html |access-date=2024-04-30 |website=scitools.org.uk}}</ref>
==Related projects==
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