OpenCV (Open Source Computer Vision Library) is a versatile computer vision library that provides a comprehensive set of tools for image and video analysis. It includes algorithms for image processing, computer vision, machine learning, and more.

Scikit-Image is an image processing library built on NumPy and SciPy. It offers a collection of algorithms for image segmentation, filtering, morphology, and other image processing tasks.

Pillow (PIL Fork) is a powerful image processing library that provides simple and efficient methods for opening, manipulating, and saving various image formats. It is user-friendly and widely used for basic image processing tasks.

Mahotas is a computer vision and image processing library that focuses on speed and efficiency. It includes fast algorithms for image processing tasks such as filtering, edge detection, and feature computation.

Fastai is a deep learning library that includes high-level abstractions for computer vision tasks. It simplifies the training of convolutional neural networks (CNNs) for image classification, segmentation, and other vision-related tasks.

Dlib is a toolkit for machine learning and computer vision. It includes a variety of tools for facial recognition, object detection, image alignment, and other computer vision applications.