You can use the Click library to quickly provide your Python automation and tooling scripts with an extensible, composable, and user-friendly command-line interface (CLI). Whether you’re a developer, data scientist, DevOps engineer, or someone who often uses Python to automate repetitive tasks, you’ll very much appreciate Click and its unique features.
In the Python ecosystem, you’ll find multiple libraries for creating CLIs, including argparse from the standard library, Typer, and a few others. However, Click offers a robust, mature, intuitive, and feature-rich solution.
In this tutorial, you’ll learn how to:
- Create command-line interfaces with Click and Python
- Add arguments, options, and subcommands to your CLI apps