# Download

The GDAL project distributes GDAL as source code and Containers only. Binaries produced by others are available for a variety of platforms and package managers.

## Source Code

### Current Release

- 2025-09-11 gdal-3.11.4.tar.gz 3.11.4 Release Notes (3.11.4 md5)

### Past Releases

Links to Past Releases are also available.

### Development Source

The main repository for GDAL is located on GitHub at https://github.com/OSGeo/GDAL.

You can obtain a copy of the active source code by issuing the following command

    git clone https://github.com/OSGeo/GDAL.git

Additional information is available about Build requirements and Building GDAL from source.

### Maintenance policy

The GDAL upstream team only maintains the branch on which the latest release has been done, with bugfixes releases issued roughly every 2 months. So, for example, during the development phase of GDAL 3.10.0, GDAL 3.9.x bugfixes releases are done based on the release/3.9 branch, but not older branches (GDAL 3.8.x or older).

## Binaries

In this section we list a number of the binary distributions of GDAL all of which should have fully reproducible open source build recipes.

Note that the maintainers of those distributions are generally not the maintainers of the GDAL sources, so please report any issue specific to those builds through their own support channels.

### Windows

Windows builds are available via Conda Forge (64-bit only). See the Conda or pixi section for more detailed information. GDAL is also distributed by GISInternals and OSGeo4W and through the NuGet and vcpkg package managers.

### Linux

Packages are available for Debian, Alpine, Fedora, and other distributions.

### Mac OS

GDAL packages are available on Homebrew.

### Android

GDAL can be installed using vcpkg. You may also refer to vcpkg Android support for general instructions.

For example to install default configuration for the `arm64-android` target:

    git clone https://github.com/Microsoft/vcpkg.git
    cd vcpkg
    ./bootstrap-vcpkg.sh  # ./bootstrap-vcpkg.bat for Windows
    ./vcpkg integrate install
    export ANDROID_NDK_HOME=/path/to/android_ndk_home  # to adapt
    ./vcpkg search gdal --featurepackages  # list optional features
    ./vcpkg install gdal:arm64-android  # install with default configuration
    ./vcpkg install gdal[poppler,netcdf]:arm64-android  # install with Poppler and netdf support

### Cross-Platform Package Managers

#### Conda

Conda can be used on multiple platforms (Windows, macOS, and Linux) to install software packages and manage environments. Conda packages for GDAL are available through conda-forge.

Latest version:

    conda install [-c channel] [package...]

GDAL is available as several subpackages:

- `gdal`: Python bindings and Python utilities (depends on libgdal-core)

- `libgdal`: meta-package gathering all below libgdal-* packages (except libgdal-arrow-parquet)

- `libgdal-arrow-parquet`: (Geo)Arrow IPC File Format / Stream and (Geo)Parquet drivers as a plugin (depends on libgdal-core)

- `libgdal-avif`: AVIF -- AV1 Image File Format driver as a plugin (depends on libgdal-core, available since GDAL 3.10.0)

- `libgdal-core`: core library and C++ utilities, with a number of builtin drivers (available since GDAL 3.9.1)

- `libgdal-fits`: FITS -- Flexible Image Transport System driver as a plugin (depends on libgdal-core, available since GDAL 3.9.1)

- `libgdal-grib`: GRIB -- WMO General Regularly-distributed Information in Binary form driver as a plugin (depends on libgdal-core, available since GDAL 3.9.1)

- `libgdal-hdf4`: HDF4 -- Hierarchical Data Format Release 4 (HDF4) driver as a plugin (depends on libgdal-core, available since GDAL 3.9.1)

- `libgdal-hdf5`: HDF5 -- Hierarchical Data Format Release 5 (HDF5) driver as a plugin (depends on libgdal-core, available since GDAL 3.9.1)

- `libgdal-heif`: HEIF / HEIC -- ISO/IEC 23008-12 High Efficiency Image File Format driver as a plugin (depends on libgdal-core, available since GDAL 3.10.0)

- `libgdal-jp2openjpeg`: JP2OpenJPEG -- JPEG2000 driver based on OpenJPEG library driver as a plugin (depends on libgdal-core, available since GDAL 3.9.1)

- `libgdal-kea`: KEA driver as a plugin (depends on libgdal-core, available since GDAL 3.9.1)

- `libgdal-netcdf`: NetCDF: Network Common Data Form driver as a plugin (depends on libgdal-core, available since GDAL 3.9.1)

- `libgdal-pdf`: PDF -- Geospatial PDF driver as a plugin (depends on libgdal-core, available since GDAL 3.9.1)

- `libgdal-postgisraster`: PostGISRaster -- PostGIS Raster driver driver as a plugin (depends on libgdal-core, available since GDAL 3.9.1)

- `libgdal-pg`: PostgreSQL / PostGIS driver as a plugin (depends on libgdal-core, available since GDAL 3.9.1)

- `libgdal-tiledb`: TileDB - TileDB raster driver as a plugin (depends on libgdal-core, available since GDAL 3.9.1)

- `libgdal-xls`: XLS - MS Excel format driver as a plugin (depends on libgdal-core, available since GDAL 3.9.1)

To install the `gdal` package (Python bindings and utilities), and `libgdal-core`:

    conda install -c conda-forge gdal

To install the `libgdal` meta-package with all available drivers, but libgdal-arrow-parquet:

    conda install -c conda-forge libgdal

To install the Arrow and Parquet drivers as plugins:

    conda install -c conda-forge libgdal-arrow-parquet

##### GDAL master Conda builds

GDAL master builds are available in the gdal-master channel. They are based on dependencies from the `conda-forge` channel. The latest master build can be installed with the following command:

    conda install -c gdal-master -c conda-forge gdal-master::gdal

As with released versions of GDAL, additional drivers can be installed using gdal-master::libgdal-{driver_name}.

#### pixi

Pixi is a package management tool for developers. It allows the developer to install libraries and applications in a reproducible way. Packages for GDAL are available through the conda-forge channel.

If you want to be able to use GDAL as part of a project:

    pixi init name-of-project
    cd name-of-project
    pixi add gdal libgdal-core
    pixi add libgdal-arrow-parquet # if you need the Arrow and Parquet drivers
    pixi shell

Pixi supports using tools like GDAL and OGR globally, similar to conda's base environment, without having to use an activate command:

    pixi global install gdal libgdal-core
    pixi global install libgdal-arrow-parquet # if you need the Arrow and Parquet drivers

#### vcpkg

The GDAL port in the vcpkg dependency manager is kept up to date by Microsoft team members and community contributors. You can download and install GDAL using the vcpkg as follows:

    git clone https://github.com/Microsoft/vcpkg.git
    cd vcpkg
    ./bootstrap-vcpkg.sh  # ./bootstrap-vcpkg.bat for Windows
    ./vcpkg integrate install
    ./vcpkg search gdal --featurepackages  # list optional features
    ./vcpkg install gdal  # install with default configuration
    ./vcpkg install gdal[poppler,netcdf]  # install with Poppler and netdf support

If the version is out of date, please create an issue or pull request on the vcpkg repository.

#### Spack

Spack is a package management tool designed to support multiple versions and configurations of software on a wide variety of platforms and environments. It was designed for large supercomputing centers. Spack builds packages from sources, and allows tweaking their configurations.

You can find information about GDAL in Spack at https://packages.spack.io/package.html?name=gdal

For the default GDAL build with a reduced number of drivers:

    git clone -c feature.manyFiles=true https://github.com/spack/spack.git
    cd spack/bin
    ./spack install gdal

For a build with netcdf driver enabled:

    ./spack install gdal +netcdf

## Containers

Docker images with nightly builds of GDAL master and tagged releases are available at GitHub Container registry.

Information on the content of the different configurations can be found at https://github.com/OSGeo/gdal/tree/master/docker.

## Documentation

Documentation for the latest version of GDAL is available as a PDF or a ZIP of individual HTML pages for offline browsing.