Rasterio reads and writes geospatial raster datasets
The main features of rasterio/rasterio are: Geospatial Analysis.
Open-source alternatives to rasterio/rasterio include: shsarv/machine-learning-projects — This repository is a collection of practical machine learning implementations designed to demonstrate core predictive… geopandas/geopandas — GeoPandas is a Python library that extends pandas with native support for geospatial data. It treats geographic… geospace-code/pymap3d — pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci. holoviz/geoviews. jazzband/geojson — Python bindings and utilities for GeoJSON. esri/arcgis-python-api — Documentation and samples for ArcGIS API for Python.
This repository is a collection of practical machine learning implementations designed to demonstrate core predictive analytics, computer vision, and natural language processing techniques. It serves as a resource for applying standard machine learning frameworks to solve diverse data science problems, ranging from automated classification to complex pattern recognition. The project distinguishes itself by providing concrete examples across multiple domains, including the development of conversational interfaces, the analysis of geospatial data, and the implementation of deep learning archite
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
pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci
Documentation and samples for ArcGIS API for Python