Python vs. Swiftify vs. Vyper vs. scikit-image Comparison Chart

Apple rolled out Swift in 2014 to replace Objective-C. There are still plenty of apps and projects that use Objective-C, and developers are faced with the prospect of either starting again from scratch or attempting to convert them to Swift. Swiftify for Xcode automates the conversion process, handling the task of replacing the syntax while letting you focus on the other aspects of project migration. As the name suggests, the service can be accessed directly from Xcode's Editor menu. You can convert a code selection or a whole file. You can paste Objective-C as Swift. It's also possible to convert files directly from Finder without booting up Xcode. Select the files and start the conversion from the context menu. Finally, the Advanced Project Converter app included in Swiftify for Xcode is designed to help you manage an entire project. It lets you explore the project in a dedicated UI and select files to be converted. Processed files are automatically added to the project.

scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. scikit-image provides a versatile set of image processing routines in Python. This library is developed by its community, and contributions are most welcome! scikit-image aims to be the reference library for scientific image analysis in Python. We accomplish this by being easy to use and install. We are careful in taking on new dependencies, and sometimes cull existing ones, or make them optional. All functions in our API have thorough docstrings clarifying expected inputs and outputs. Conceptually identical arguments have the same name and position in a function signature. Test coverage is close to 100% and code is reviewed by at least two core developers before being included in the library.