Las características principales de cleder/pygeoif son: Geospatial Frameworks.
Las alternativas de código abierto para cleder/pygeoif incluyen: geopandas/geopandas — GeoPandas is a Python library that extends pandas with native support for geospatial data. It treats geographic… jl2/utm — Lisp library for converting between latitude/longitude and UTM. jswhit/pyproj — Python interface to PROJ (cartographic projections and coordinate transformations library). juliageo/geodesy.jl — Work with points defined in various coordinate systems. juliageo/geointerface.jl — A Julia Protocol for Geospatial Data. juliageo/geojson.jl — Utilities for working with GeoJSON data in Julia.
Python interface to PROJ (cartographic projections and coordinate transformations library)
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
