**scikit-image** is an open-source image processing library implemented in Python, released under the Modified BSD license. It provides a well-documented API and is developed by an international team of contributors. The library aims to offer high-quality, easy-to-use implementations of common image processing algorithms, facilitate education in image processing, and address industry challenges. Key features include support for various data types, compatibility with other scientific Python tools, and a modular design for ease of use and contribution. The library is widely used in research, education, and industry, with applications in areas such as bioinformatics, computational biology, and medical image analysis. Examples of real-world applications are provided, including image registration, stitching, and feature extraction. The development practices emphasize code quality, documentation, and community collaboration, making scikit-image a robust and versatile tool for image processing tasks.**scikit-image** is an open-source image processing library implemented in Python, released under the Modified BSD license. It provides a well-documented API and is developed by an international team of contributors. The library aims to offer high-quality, easy-to-use implementations of common image processing algorithms, facilitate education in image processing, and address industry challenges. Key features include support for various data types, compatibility with other scientific Python tools, and a modular design for ease of use and contribution. The library is widely used in research, education, and industry, with applications in areas such as bioinformatics, computational biology, and medical image analysis. Examples of real-world applications are provided, including image registration, stitching, and feature extraction. The development practices emphasize code quality, documentation, and community collaboration, making scikit-image a robust and versatile tool for image processing tasks.