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python-pillow avatar

python-pillow/Pillow

0
View on GitHub↗
13,637 stars·2,460 forks·Python·27 viewspython-pillow.github.io↗

Pillow

Pillow is a Python image processing library and digital image manipulation toolkit used for opening, manipulating, and saving various image file formats. It serves as a multi-format image codec wrapper that enables the reading and writing of diverse standards such as JPEG, PNG, TIFF, and BMP.

The library provides tools for programmatic image manipulation, including resizing, cropping, rotating, and transforming visual content through direct pixel data modification. It supports pixel data analysis to extract and modify raw information for custom visual processing and data transformations.

The toolkit covers broader capabilities for image file processing and the dynamic generation of visual content for automated reports or data visualization workflows.

Features

  • File and Image Handling - Provides comprehensive utilities for reading and writing image files across multiple diverse formats.
  • C-Based Image Engines - Implements core image processing operations in C to maximize performance and minimize Python overhead.
  • Image Processing - Provides tools for loading, filtering, and manipulating pixel data to transform visual content.
  • Internal Image Representations - Stores image data in a standardized internal format to ensure consistent processing across different file types.
  • Image Manipulation Toolkits - Offers a comprehensive toolkit for resizing, cropping, rotating, and transforming visual content.
  • Image Format Plugins - Uses a pluggable architecture to decode various image file formats via dynamic codec modules.
  • Multi-Format Codecs - Implements a system of pluggable codecs for reading and writing standards like JPEG, PNG, TIFF, and BMP.
  • Programmatic Manipulation Libraries - Allows automation of cropping, rotating, and color adjustments via a programmatic library.
  • Memory-Mapped File Access - Accesses large image files directly from disk using memory mapping to minimize memory consumption.
  • Pixel Accessors - Provides interfaces for extracting and modifying raw pixel information for custom visual processing.
  • Lazy Loading - Defers loading pixel data into memory until it is actually required by an operation.
  • Color Mapping - Uses fixed-point integer arithmetic to manage color palettes and pixel values efficiently.
  • Dynamic Image Generation - Enables the programmatic generation of images on the fly for reports and data visualizations.
  • Computer Vision - Standard library for image manipulation and processing.
  • General Utilities - Image processing library for Python.
  • Python Packages - Image processing library.
  • Image Processing - Provides comprehensive image manipulation and processing capabilities.
  • Media and Communication - Image manipulation library.

Star history

Star history chart for python-pillow/pillowStar history chart for python-pillow/pillow

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Pillow

These projects share indexed features with Pillow. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • sixlabors/imagesharpSixLabors avatar

    SixLabors/ImageSharp

    7,954View on GitHub↗

    ImageSharp is a .NET image processing library and manipulation framework used for decoding, encoding, and modifying digital images. It functions as a comprehensive toolkit for resizing, cropping, and applying pixel-level filters while managing color profiles and pixel data across various file formats. The project integrates a 2D vector graphics engine and a typography rendering engine to draw geometric shapes, paths, and complex stylized text onto images. It also includes a geometry boolean operation library for calculating intersections, unions, and differences between complex polygons and c

    C#bmpc-sharpdrawing
    View on GitHub↗7,954
  • oliver-moran/jimpoliver-moran avatar

    oliver-moran/jimp

    14,621View on GitHub↗

    Jimp is a JavaScript image processing library and Node.js manipulation tool designed to perform image transformations and edits entirely within a JavaScript environment. It is a zero-dependency image library that operates without requiring native binaries or external system software dependencies. The project provides a programmatic interface for automated image transformations, including resizing, cropping, and filtering. It supports the creation of custom image pipelines and server-side image editing by processing data without relying on native system tools.

    TypeScript
    View on GitHub↗14,621
  • jimp-dev/jimpjimp-dev avatar

    jimp-dev/jimp

    14,621View on GitHub↗

    Jimp is a zero-dependency JavaScript image processing library and programmatic editor designed for manipulating, resizing, and filtering images in Node.js. It functions as a multi-format image encoder and extensible pipeline that operates entirely in JavaScript to ensure portable deployment across different environments without requiring native system dependencies. The engine features a modular architecture that allows for custom image processor builds and the registration of custom processing plugins. This extensibility enables the addition of specific visual effects and custom file-type enc

    TypeScript
    View on GitHub↗14,621
  • pistondevelopers/imagePistonDevelopers avatar

    PistonDevelopers/image

    5,805View on GitHub↗

    This project is an image processing library designed for manipulating pixel data, applying visual filters, and adjusting image appearance. It functions as a low-level tool for processing raw pixel buffers and managing image data. The library provides a toolkit for image geometry manipulation, including resizing, cropping, flipping, and rotating images. It also serves as an image format converter for encoding and decoding data between common binary file formats and as a metadata extractor for retrieving dimensions and color profiles from file headers. The capabilities cover low-level image pr

    Rust
    View on GitHub↗5,805
Compare all 30 related projects→

Frequently asked questions

What does python-pillow/pillow do?

Pillow is a Python image processing library and digital image manipulation toolkit used for opening, manipulating, and saving various image file formats. It serves as a multi-format image codec wrapper that enables the reading and writing of diverse standards such as JPEG, PNG, TIFF, and BMP.

What are the main features of python-pillow/pillow?

The main features of python-pillow/pillow are: File and Image Handling, C-Based Image Engines, Image Processing, Internal Image Representations, Image Manipulation Toolkits, Image Format Plugins, Multi-Format Codecs, Programmatic Manipulation Libraries.

Which projects share features with python-pillow/pillow?

Projects with overlapping indexed features include: sixlabors/imagesharp — ImageSharp is a .NET image processing library and manipulation framework used for decoding, encoding, and modifying… oliver-moran/jimp — Jimp is a JavaScript image processing library and Node.js manipulation tool designed to perform image transformations… jimp-dev/jimp — Jimp is a zero-dependency JavaScript image processing library and programmatic editor designed for manipulating,… pistondevelopers/image — This project is an image processing library designed for manipulating pixel data, applying visual filters, and… libvips/libvips — Libvips is a C-based image processing library designed to manipulate large visual assets through a low-memory,… aheckmann/gm — gm is a JavaScript image processing library and Node.js manipulation tool that serves as a programmatic wrapper for…