Image Manipulation Python Packages

cloudinary

Python package for cloudinary

clean-fid

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

pyvips

python binding for libvips using cffi

imagekitio

ImageKit.io Python SDK

glitch-this

:camera: Glitchify images and GIF - with highly customizable options!

pyuploadcare

Build file handling in minutes. Upload or accept user-generated content, store, transform, optimize, and deliver images, videos, and documents to billions of users.

fotokilof

GUI for ImageMagick and Wand or Pillow

cloudinary-cli

A command line interface for Cloudinary's APIs

django-imagefit

Resize an image on render. Preserve your original file on your system.

imagesorcery-mcp

An MCP server providing tools for image processing operations

imgrs

Imgrs for Python. A blazingly fast, modern image processing library for Python. Powered by rust.

nsvision

nsvision - Computer Vision Wrapper built on top of PIL, cv2 and Numpy

layeredimage

Use this module to read, and write to a number of layered image formats

imageeffects

A library to add effects to your images.

polaroid

Hyper Fast and safe image manipulation library for python . Powered by rust.

image-titler

An image title generator using The Renegade Coder style

scalenx

Image resizing using Scale2x, Scale3x, Scale2xSFX and Scale3xSFX algorithms, in pure Python.

nitro-image

Resize, convert, and optimize images with a chainable API. Generate responsive sizes in one call.

sinapsis-image-transforms

Sinapsis templates to apply image transformations

imageedit

Create various icon masks and shading effects with the imageedit library. Five example files under main: round.py, makeProjIcons.py, makePWAImages.py, getPWAScreenshots.py and readWriteLayered.py.

vsgan

PyTorch-based Super-Resolution and Restoration Image Processing Module for VapourSynth

byakuganvisualizer

The ByakuganVisualizer repository hosts a Python tool designed to compare images and highlight their differences. It simplifies the process of identifying disparities between images, making it ideal for tasks like testing and quality assurance. Moreover, it offers a color filter that can be used to correct images for color-blind users.

imagemine

📸 → 🍌 → 🖼️ ... Re-imagine any photo into fantastical art. imagemine uses Claude to write a surrealist story about your photo, then generates a new image from that description using Gemini / Nano Banana.

pyimagelabeling

PyImageLabeling is a powerful tool with a user-friendly interface based on PyQT6 for creating image masks. These labeled images are used in the creation of machine learning models dedicated to computer vision tasks.