pygdal

What it is and what it does

pygdal is a wrapper around GDAL's standard Python bindings designed to work smoothly in virtualenvs and with setuptools. Unlike the standard GDAL bindings, pygdal handles the build and installation process in isolated Python environments, though it still requires the GDAL library and headers to be installed on your system first. It lets you work with geospatial raster and vector data—reading, writing, and transforming geographic datasets—using the standard bindings API.

The main constraint is version coupling: your installed pygdal package version must match your system GDAL version exactly. This tight binding ensures the Python bindings align with the underlying C/C++ library, but it also means you need to verify your GDAL version before installing and potentially reinstall pygdal if you upgrade GDAL. The package supports Python 3.6 and later and is marked Production/Stable, though its last release was in May 2023.

Use it for:

• Reading and writing GIS raster and vector data formats in a virtualenv.
• Automating geospatial data processing pipelines that need isolated Python dependencies.
• Developing GIS applications where system GDAL is already installed and you need Python bindings.
• Prototyping geospatial analysis without polluting your system Python installation.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Provides Python bindings for GDAL (Geospatial Data Abstraction Library) in a virtualenv-friendly package that wraps the system GDAL installation.

Yes, if you already have GDAL installed on your system and need Python bindings in a virtualenv. The high install friction (version-matching requirement, compiled dependencies) and aging maintenance status (last release May 2023) are acceptable trade-offs for established GIS work. Not recommended if you're new to GDAL or prefer minimal system-level dependencies.

Install

pygdal on PyPI

pip install pygdal

uv add pygdal

poetry add pygdal

Installing pygdal

Before you install

Installation requires system-level GDAL library and headers already present; the package version must match your installed GDAL version exactly. High friction due to compiled C/C++ dependencies and version coupling, though the repository remains active and the package is marked Production/Stable.

License in practice

MIT license permits commercial and private use with minimal restrictions, making it suitable for most projects without legal concern.

Quickstart

# Requires system GDAL library installed first
# Install matching pygdal version for your GDAL:
# $ gdal-config --version
# $ pip install pygdal=="`gdal-config --version`.*"

from osgeo import gdal

System GDAL library and development headers must be installed before pip install; pygdal version must match your system GDAL version exactly.

Verify before relying

• Whether numpy is automatically installed as a dependency or requires separate setup.
• Current maintenance cadence and whether aging status reflects planned dormancy or active-but-stable development.
• Compatibility with GDAL versions beyond 3.5.2 (the stated upper bound in the description).

Package facts

Evidence: pygdal-3.6.4.11.tar.gz

Tags

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