click
Composable command line interface toolkit
This package has a good security score with no known vulnerabilities.
Community Reviews
Solid CLI framework with minimal security surface area
The decorator-based API makes it easy to build CLIs quickly, though you need to be careful with type coercion. Click will automatically convert string inputs to int/float/etc based on your type annotations, but validation beyond basic type checking requires custom validators. The library handles shell injection risks reasonably well when used with subprocess integration, but it won't save you from passing unsanitized user input to os.system().
Error handling is decent—exceptions are generally informative without leaking internals, though custom validation error messages could accidentally expose sensitive paths or data if you're not careful. The Context object pattern can lead to subtle bugs if you're not careful about parameter propagation in nested command groups.
Best for: Building CLIs where you want fine-grained control over input validation and security policies without framework overhead.
Avoid if: You need built-in input sanitization, authentication, or are building security-critical tools requiring extensive validation helpers.
Solid CLI framework with minimal security surface, but requires careful input handling
Error handling is generally clean but can leak information if you're not careful. Uncaught exceptions will dump full tracebacks by default, which is fine for dev tools but problematic for customer-facing CLIs that might expose internal paths or logic. You'll want to wrap your commands with try-except blocks and use `click.ClickException` for user-facing errors. Password prompting via `click.prompt(hide_input=True)` works well and doesn't echo to terminal.
The decorator-based API makes input validation straightforward with `click.Choice`, custom callbacks, and type coercion, but you must be explicit—it won't sanitize everything automatically. I've built dozens of internal tools with it and never hit a CVE, which speaks to its mature, conservative codebase.
Best for: Building internal tools, dev utilities, and CLIs where you control the execution environment and need predictable, minimal dependencies.
Avoid if: You need built-in security features like audit logging, rate limiting, or are building customer-facing CLIs without additional hardening.
Decorator-based CLI framework with excellent ergonomics and type support
Error messages are user-friendly by default, showing helpful usage hints when arguments are wrong. The documentation is comprehensive with practical examples for every feature. Testing CLIs built with Click is trivially easy using CliRunner, which captures output without subprocess gymnastics. Command groups and nested commands scale well from simple scripts to complex tools like Docker's CLI.
The only real friction comes when you need deeply customized help formatting or want to deviate from Click's conventions - you end up fighting the framework. Context passing between commands can also feel awkward initially, though it's powerful once understood.
Best for: Building CLIs of any complexity in Python, from simple scripts to multi-command applications with subcommands.
Avoid if: You need extreme customization of parsing behavior or prefer argparse's explicit, non-decorator style.
Sign in to write a review
Sign In