affine
Matrices describing affine transformation of the plane
Decision gist · record as of 2026-08-14
Yes. Affine is a stable, actively maintained library (Production/Stable status, released 6 days ago) with no known vulnerabilities, minimal dependencies, and a clear use case in geospatial and graphics work. The permissive license and Python 3.9+ support make it safe to adopt. Install it if you work with georeferenced rasters, need to compose 2D transformations, or integrate with GDAL-based tools.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later.
- Low friction: pure Python wheel with a single lightweight dependency (attrs).
- Active maintenance with a recent release (6 days old) and steady repository activity.
License · maintenance · safety
permissive license (permissive) — Permissive license allows use in commercial and open-source projects without significant restrictions.
last release 2026-08-08 (6 days) · last repo commit 2026-08-14 · 175 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 5,464,538 downloads/mo, #2,094 on PyPI
Alternatives
Verify before relying
from affine import Affine
# Create a translation transformation
transform = Affine.translation(1.0, 5.0)
# Apply to coordinates
result = transform * (1.0, 1.0)
print(result) # (2.0, 6.0)
# Combine transformations
combined = Affine.translation(1.0, 5.0) * Affine.rotation(45.0)- Whether the package provides inverse transformation computation beyond the ~ operator shown in examples
- Performance characteristics when applying transformations to large coordinate arrays
- Support for 3D affine transformations or whether it is strictly 2D
What it is and what it does
Affine is a lightweight library for working with 2D affine transformation matrices. It provides a single core class that represents the 3x3 augmented matrix used to describe transformations like translation, rotation, scaling, and shearing in two dimensions. You construct transformations either by passing raw matrix coefficients or by using convenience class methods (identity, translation, scale, rotation, shear), then apply them to coordinate tuples using the * operator or combine multiple transformations by multiplying matrices together.
The package is particularly useful in geospatial and raster imaging workflows, where affine transformations map pixel coordinates to real-world coordinates. It includes a from_gdal() method to convert GDAL GeoTransform tuples (the standard format used by geospatial libraries) into Affine objects, and supports computing inverse transformations with the ~ operator. With only attrs as a runtime dependency and a pure-Python wheel, it installs with minimal friction.
Use it for
- Convert pixel coordinates to world coordinates in georeferenced raster datasets using GDAL GeoTransform data
- Compose multiple geometric transformations (rotation, translation, scaling) into a single matrix for efficient batch application
- Compute inverse transformations to map world coordinates back to image space in GIS workflows
- Represent and apply 2D coordinate transformations in graphics or image processing pipelines
- Build geospatial tools that need to work with standard affine transformation matrices from GDAL or similar libraries
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Affine is a stable, actively maintained library (Production/Stable status, released 6 days ago) with no known vulnerabilities, minimal dependencies, and a clear use case in geospatial and graphics work. The permissive license and Python 3.9+ support make it safe to adopt. Install it if you work with georeferenced rasters, need to compose 2D transformations, or integrate with GDAL-based tools.
Install
affine on PyPI
Before you install
Low friction: pure Python wheel with a single lightweight dependency (attrs). Active maintenance with a recent release (6 days old) and steady repository activity.
Requires Python 3.9 or later.
License in practice
Permissive license allows use in commercial and open-source projects without significant restrictions.
Quickstart
from affine import Affine
# Create a translation transformation
transform = Affine.translation(1.0, 5.0)
# Apply to coordinates
result = transform * (1.0, 1.0)
print(result) # (2.0, 6.0)
# Combine transformations
combined = Affine.translation(1.0, 5.0) * Affine.rotation(45.0)Verify before relying
- Whether the package provides inverse transformation computation beyond the ~ operator shown in examples
- Performance characteristics when applying transformations to large coordinate arrays
- Support for 3D affine transformations or whether it is strictly 2D
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packageattrs |
| Maintenance | Actively maintained 6 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 5,464,538 / month, #2,094 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableLicense :: OSI Approved :: BSD LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3 :: OnlyTopic :: Multimedia :: Graphics :: Graphics ConversionTopic :: Scientific/Engineering :: GISTyping :: Typed |
Evidence: affine-3.0.0-py3-none-any.whl
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See also transforms3d · transformations · gwcs · GDAL · pytransform3d · spatial_image · rasterix · aggdraw · pyquaternion