🐍🚀🎨 Pillow 11.2.1 has been released!
What happened to 11.2.0?
Two things: we added AVIF support which made the wheels much bigger, and we hit the PyPI project size limit before the release could be fully updated.
11.2.1 instead has AVIF support but needs to be built from source. We'll look into including AVIF in wheels in a future release so that the size doesn't increase so much.
This release also adds Arrow support and more:
https://pillow.readthedocs.io/en/stable/releasenotes/11.2.1.html
![Other Changes
Arrow support
Arrow is an in-memory data exchange format that is the spiritual successor to the NumPy array interface. It provides for zero-copy access to columnar data, which in our case is Image data.
To create an image with zero-copy shared memory from an object exporting the arrow_c_array interface protocol:
from PIL import Image
import pyarrow as pa
arr = pa.array([0]*(5*5*4), type=pa.uint8())
im = Image.fromarrow(arr, 'RGBA', (5, 5))
Pillow images can also be converted to Arrow objects:
from PIL import Image
import pyarrow as pa
im = Image.open('hopper.jpg')
arr = pa.array(im)
Reading and writing AVIF images
Pillow can now read and write AVIF images when built from source with libavif 1.0.0 or later.](/proxy/post_attachment/48531/4de969ad50.png "Other Changes
Arrow support
Arrow is an in-memory data exchange format that is the spiritual successor to the NumPy array interface. It provides for zero-copy access to columnar data, which in our case is Image data.
To create an image with zero-copy shared memory from an object exporting the arrow_c_array interface protocol:
from PIL import Image
import pyarrow as pa
arr = pa.array([0]*(5*5*4), type=pa.uint8())
im = Image.fromarrow(arr, 'RGBA', (5, 5))
Pillow images can also be converted to Arrow objects:
from PIL import Image
import pyarrow as pa
im = Image.open('hopper.jpg')
arr = pa.array(im)
Reading and writing AVIF images
Pillow can now read and write AVIF images when built from source with libavif 1.0.0 or later.")