Package: wnpp Severity: wishlist Owner: Josenilson Ferreira da Silva <nilsonfsi...@hotmail.com> X-Debbugs-Cc: debian-de...@lists.debian.org, nilsonfsi...@hotmail.com
* Package name : python-cyclopts Version : 3.1.2 Upstream Contact: Brian Pugh <bnp...@gmail.com> * URL : https://github.com/BrianPugh/cyclopts * License : Apache-2.0 Programming Lang: Python Description : Modern command line interface (CLI) Package is a modern and easy-to-use framework for building command-line interfaces (CLIs) in Python, designed to make developing CLI applications simpler, more intuitive, and efficient. . It stands out for: - Use of Python Type Annotations: Cyclopts leverages Python’s type annotation system to make the CLI code more readable and less error-prone. You can use native Python types to specify inputs, such as int, str, and float, as well as more complex types like Pydantic, Dataclasses, and Attrs, improving clarity and control over input parameters. - Intuitive and Simple Interface: Cyclopts is designed to be easy to learn and use. The syntax is extremely simple, allowing developers to quickly build command-line tools with minimal code. Setting up commands, options, and arguments is straightforward, without the need for complex configurations or boilerplate code. - Automatic Validation and Type Conversion: Cyclopts handles automatic validation and type conversion based on the defined types in the code. This means it automatically validates input values according to type annotations and converts the inputs to the correct types without requiring extra code from the developer, reducing the chance of user input errors. - Automatic Help Generation: Cyclopts automatically generates detailed, well-structured help pages for your commands and options, using docstrings and the information provided in type definitions. This makes it easy to create user-friendly interfaces and eliminates the need to manually maintain CLI documentation. - Extensibility and Customization: Cyclopts is highly extensible. It allows developers to customize how input data is parsed, validated, and processed. The framework supports the creation of custom converters and validators, offering great flexibility to adapt the application to specific project needs. - Integration with Existing Tools: Cyclopts integrates seamlessly with other popular Python libraries and frameworks. It can be used alongside libraries like Pydantic for data validation or Typer and Click to build more complex applications, all while maintaining its simplicity and focus on usability. - Clear and Detailed Documentation: Cyclopts has clear, concise documentation with practical examples that make it easy to adopt, even for beginners. This is an important advantage, as building CLI tools can be complex, and Cyclopts’ documentation makes this process more accessible.
