grandine
Geo data processor
Tools and libraries for working with geospatial data
Processing geo data is no fun. Grandine changes this.
52 stars
13 watching
3 forks
Language: Go
last commit: almost 3 years ago
Linked from 1 awesome list
gisopenstreetmapspatialtilesvector-tiles
Related projects:
Repository | Description | Stars |
---|---|---|
| Tool for processing geospatial data in small chunks | 197 |
| A Python-based library for simplifying access to spatial data processing for geological modeling and subsurface data analysis. | 264 |
| A software platform for geospatial data management and analysis | 858 |
| A geospatial database engine optimized for OpenStreetMap data, providing fast query performance and storage efficiency. | 139 |
| A spatial database engine for managing OpenStreetMap data in a compact and efficient manner. | 38 |
| An interface for working with geospatial vector data in Julia | 101 |
| Provides efficient data structures and utilities for working with 2D and 3D geometric shapes in various formats. | 865 |
| A Julia library that provides an interface to the GDAL geospatial data processing library | 0 |
| An open-source command-line tool for manipulating and analyzing geospatial data. | 64 |
| A collection of tools and extensions to the Google Earth Engine Python API for geospatial processing | 531 |
| A utility for processing and analyzing geospatial raster data with graphical user interface capabilities | 29 |
| A Rust library for reading and writing geospatial data formats without an intermediate representation. | 368 |
| A Golang wrapper around the GDAL library for working with geospatial data | 141 |
| Provides geographic data processing tools for Django REST Framework applications. | 1,089 |
| Geospatial primitive types and algorithms for spatial data manipulation | 1,586 |