JetBrains DataSpell vs. Python vs. Swiftify vs. marimo Comparison Chart

Switch between command and editor modes with a single keystroke. Navigate over cells with arrow keys. Use all of the standard Jupyter shortcuts. Enjoy fully interactive outputs – right under the cell. When editing code cells, enjoy smart code completion, on-the-fly error checking and quick-fixes, easy navigation, and much more. Work with local Jupyter notebooks or connect easily to remote Jupyter, JupyterHub, or JupyterLab servers right from the IDE. Run Python scripts or arbitrary expressions interactively in a Python Console. See the outputs and the state of variables in real-time. Split Python scripts into code cells with the #%% separator and run them individually as you would in a Jupyter notebook. Browse DataFrames and visualizations right in place via interactive controls. All popular Python scientific libraries are supported, including Plotly, Bokeh, Altair, ipywidgets, and others.

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.