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The igraph library
The main features of igraph/igraph are: Specialized Data Utilities.
Open-source alternatives to igraph/igraph include: chardet/chardet — Python character encoding detector. geopandas/geopandas — GeoPandas is a Python library that extends pandas with native support for geospatial data. It treats geographic… geopy/geopy — geopy is a Python geocoding library and geolocation client used to convert human-readable addresses into geographic… imageio/imageio — Website:. jasonkessler/scattertext — Beautiful visualizations of how language differs among document types. jbesomi/texthero — Text preprocessing, representation and visualization from zero to hero.
GeoPandas is a Python library that extends pandas with native support for geospatial data. It treats geographic geometries—points, lines, and polygons—as a first-class column type within DataFrames, enabling users to store, manipulate, and analyze vector spatial data alongside traditional tabular attributes. The library is built on top of proven geospatial components: it uses Shapely for all geometric operations, Fiona and GDAL for reading and writing standard spatial file formats, PyProj for coordinate reprojection, and an R‑tree spatial index (from Shapely) to accelerate spatial queries. Wh
geopy is a Python geocoding library and geolocation client used to convert human-readable addresses into geographic coordinates and resolve coordinates back into street addresses using various third-party web services. The library provides a consistent provider-based interface that abstracts multiple external geocoding services, allowing for interchangeable backends. It includes built-in request rate limiting and asynchronous client interfaces to manage API call frequency and execute concurrent lookups without halting execution. Beyond geocoding, the project includes geospatial utilities for
