Pillow
Pillow is a Python imaging library that serves as a replacement for PIL, the Python Imaging Library, which is no longer maintained. Pillow provides image processing and graphics capabilities for Python applications with support for a wide range of image formats.
python
imaging
image-processing
graphics
pillow
Pillow: A Replacement for PIL with Advanced Image Processing
A lightweight, high-performance alternative to the deprecated Python Imaging Library (PIL), offering robust image processing and graphics capabilities for Python applications.
What is Pillow?
Pillow is a popular Python imaging library that provides extensive image processing and graphics capabilities for Python programs. It is a fork of PIL (Python Imaging Library), which is no longer maintained. Pillow aims to provide a friendly, modern, and high-performance interface for working with images in Python.
Some key capabilities and features of Pillow include:
- Support for a wide variety of common and specialized image file formats including JPEG, PNG, GIF, TIFF, and BMP
- Image processing functions like resizing, cropping, flipping, rotating, blurring, sharpening, color transforms, and more
- Drawing capabilities including shapes, text, outlines, and raster graphics
- Support for pixel-level manipulation of image data
- Seamless compatibility with the Python imaging model established by PIL
- Active development by a community of contributors
- High performance through integration with underlying libraries like libjpeg, libtiff, libpng, littleCMS, and more
Pillow is used across many Python programming domains like scientific image processing, machine learning, computer vision, GUI development, game development, graphic design applications, and more. Its comprehensive features and ease of use make Pillow a popular choice for handling images in Python.
Pillow Features
Features
- Image processing and graphics capabilities
- Support for a wide range of image formats
- Image resizing, cropping, rotating
- Image enhancement and filters
- Drawing shapes, lines, text
- Conversion between formats
- Basic image compositing
Pricing
- Open Source
Pros
Replaces and improves upon PIL
Actively maintained and developed
Easy to install and use
Good performance
Good documentation
Large user community
Open source
Cons
Less features than some other image processing libraries
Limited support for scientific image formats
No GPU acceleration
Some more complex image processing algorithms not implemented
Official Links
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