Gdal

GDAL is an MIT-licensed open source translator library that provides a unified abstract data model for reading and writing geospatial raster and vector data across hundreds of file formats. It serves as a foundational geospatial data translation library, enabling access to diverse geospatial data formats through a single, consistent interface.

The library exposes its core functionality through command-line utilities that allow users to translate, convert, and process geospatial data between formats. A coordinate transformation engine handles conversions between spatial reference systems, while a format driver plugin system loads format-specific read and write logic at runtime. The virtual file system layer provides uniform I/O access across local files, HTTP, cloud storage, and compressed archives, and a raster block cache manages in-memory tile caching to reduce I/O operations.

GDAL supports reading and writing both raster and vector geospatial data, with vector feature iteration that streams features individually without loading entire datasets into memory. The project enables cross-format geospatial interoperability by supporting data exchange between different geospatial software ecosystems through its extensive format support.

Features

Geospatial Data Tools - An MIT-licensed library that reads and writes raster and vector geospatial data across hundreds of file formats.
Geospatial Development Libraries - An MIT-licensed translator library providing a single abstract data model for accessing raster and vector geospatial data formats.
Raster and Vector Processing - Reads and writes geospatial raster and vector data from hundreds of formats through a unified abstract data model.
Geospatial - Runs command-line utilities to translate and analyze geospatial raster and vector datasets.
Coordinate Reference System Transformations - Transforms coordinates between hundreds of spatial reference systems using PROJ-based math and datum grids.
Raster Data Loaders - Opens and reads raster data from hundreds of geospatial file formats for analysis.
Raster Data Writers - Writes raster geospatial data to hundreds of file formats from a common in-memory model.
Geospatial Data Converters - Converts raster and vector data between different geospatial file formats using command-line tools.
Geospatial Format Parsing - Converts raster and vector geospatial data between hundreds of file formats using a single library.
Vector Data Formats - Reads vector geospatial data from hundreds of file formats into a common data model.
Vector Data Writers - Writes vector geospatial data from a common data model into hundreds of file formats.
Geospatial Command-Line Wrappers - Ships command-line utilities for translating and processing geospatial raster and vector data between formats.
Geospatial Workflows - Processes geospatial data through command-line utilities for translation, analysis, and format conversion.
Geospatial Format Support - Enables data exchange between different geospatial software ecosystems by supporting hundreds of formats.
Model Abstractions - Defines a unified abstract data model for geospatial raster and vector data across hundreds of file formats.
Geospatial Data Abstractions - Provides a unified abstract data model for reading and writing geospatial raster and vector data across hundreds of formats.
Raster Geospatial Converters - Translates geospatial raster data between hundreds of supported file formats via command-line utilities.
Vector Geospatial Converters - Translates geospatial vector data between hundreds of supported file formats via command-line utilities.
Vector Feature Stream Iterators - Streams vector features individually without loading entire datasets into memory for efficient processing.
Virtual File System Layers - Provides a uniform I/O interface over local files, HTTP, cloud storage, and compressed archives.
Geospatial Virtual File Systems - Provides a uniform I/O interface for accessing geospatial data over local files, HTTP, cloud storage, and compressed archives.
Geospatial Format Plugin Adapters - Loads format-specific read and write logic as dynamically linked plugins at runtime for extensibility.
Geospatial and Vector Mapping - Translator library for geospatial data formats.
Geospatial Mapping - Translator library for raster and vector geospatial data.
Geospatial Tools - Geospatial Data Abstraction Library.
Data conversion tools - Listed in the “Data conversion tools” section of the Awesome Arcgis Developers awesome list.

Star history

OSGeogdal

Name: osgeo/gdal
Author: OSGeo

View on GitHub

5,942 stars2,901 forksC++10 viewsgdal.org

Gdal

Features

Geospatial Data Tools - An MIT-licensed library that reads and writes raster and vector geospatial data across hundreds of file formats.
Geospatial Development Libraries - An MIT-licensed translator library providing a single abstract data model for accessing raster and vector geospatial data formats.
Raster and Vector Processing - Reads and writes geospatial raster and vector data from hundreds of formats through a unified abstract data model.
Geospatial - Runs command-line utilities to translate and analyze geospatial raster and vector datasets.
Coordinate Reference System Transformations - Transforms coordinates between hundreds of spatial reference systems using PROJ-based math and datum grids.
Raster Data Loaders - Opens and reads raster data from hundreds of geospatial file formats for analysis.
Raster Data Writers - Writes raster geospatial data to hundreds of file formats from a common in-memory model.
Geospatial Data Converters - Converts raster and vector data between different geospatial file formats using command-line tools.
Geospatial Format Parsing - Converts raster and vector geospatial data between hundreds of file formats using a single library.
Vector Data Formats - Reads vector geospatial data from hundreds of file formats into a common data model.
Vector Data Writers - Writes vector geospatial data from a common data model into hundreds of file formats.
Geospatial Command-Line Wrappers - Ships command-line utilities for translating and processing geospatial raster and vector data between formats.
Geospatial Workflows - Processes geospatial data through command-line utilities for translation, analysis, and format conversion.
Geospatial Format Support - Enables data exchange between different geospatial software ecosystems by supporting hundreds of formats.
Model Abstractions - Defines a unified abstract data model for geospatial raster and vector data across hundreds of file formats.
Geospatial Data Abstractions - Provides a unified abstract data model for reading and writing geospatial raster and vector data across hundreds of formats.
Raster Geospatial Converters - Translates geospatial raster data between hundreds of supported file formats via command-line utilities.
Vector Geospatial Converters - Translates geospatial vector data between hundreds of supported file formats via command-line utilities.
Vector Feature Stream Iterators - Streams vector features individually without loading entire datasets into memory for efficient processing.
Virtual File System Layers - Provides a uniform I/O interface over local files, HTTP, cloud storage, and compressed archives.
Geospatial Virtual File Systems - Provides a uniform I/O interface for accessing geospatial data over local files, HTTP, cloud storage, and compressed archives.
Geospatial Format Plugin Adapters - Loads format-specific read and write logic as dynamically linked plugins at runtime for extensibility.
Geospatial and Vector Mapping - Translator library for geospatial data formats.
Geospatial Mapping - Translator library for raster and vector geospatial data.
Geospatial Tools - Geospatial Data Abstraction Library.
Data conversion tools - Listed in the “Data conversion tools” section of the Awesome Arcgis Developers awesome list.

Open-source alternatives to Gdal

Similar open-source projects, ranked by how many features they share with Gdal.

torchgeo/torchgeo
torchgeo/torchgeo
4,077View on GitHub
TorchGeo is a PyTorch library designed for deep learning on geospatial data, providing a framework for building and training neural networks for tasks such as semantic segmentation, object detection, and change detection. It serves as a comprehensive pipeline for remote sensing, featuring specialized dataset loaders and multispectral image preprocessing tools. The library is distinguished by a dedicated remote sensing model zoo and extensive support for transfer learning, allowing users to integrate pre-trained weights optimized for specific satellite sensors. It also includes support for sel
Pythoncomputer-visiondatasetsdeep-learning
View on GitHub4,077
mbloch/mapshaper
mbloch/mapshaper
4,133View on GitHub
Mapshaper is a tool for processing, simplifying, and converting geographic vector data, available as a command-line interface, a web browser tool, and a Node.js library. It functions as a coordinate projector, vector data converter, and web map asset optimizer designed to transform spatial datasets between different coordinate reference systems and file formats. The project is distinguished by its topology-preserving geometry simplification, which reduces vertex counts while maintaining shared boundaries to prevent gaps and overlaps. It further optimizes assets for the web through coordinate
JavaScript
View on GitHub4,133
azavea/loam
azavea/loam
227View on GitHub
A wrapper for running GDAL in the browser using gdal-js
JavaScript
View on GitHub227

Frequently asked questions

What does osgeo/gdal do?

What are the main features of osgeo/gdal?

The main features of osgeo/gdal are: Geospatial Data Tools, Geospatial Development Libraries, Raster and Vector Processing, Geospatial, Coordinate Reference System Transformations, Raster Data Loaders, Raster Data Writers, Geospatial Data Converters.

What are some open-source alternatives to osgeo/gdal?

Open-source alternatives to osgeo/gdal include: torchgeo/torchgeo — TorchGeo is a PyTorch library designed for deep learning on geospatial data, providing a framework for building and… mbloch/mapshaper — Mapshaper is a tool for processing, simplifying, and converting geographic vector data, available as a command-line… azavea/loam — A wrapper for running GDAL in the browser using gdal-js. geopandas/geopandas — GeoPandas is a Python library that extends pandas with native support for geospatial data. It treats geographic… mapnik/mapnik — Mapnik is a cartographic rendering library and map rendering engine designed to convert geographic information system… airbusgeo/godal — golang wrapper for github.com/OSGEO/gdal.