oferveur/questionary

Python library to build pretty command line user prompts ✨Easy to use multi-select lists, confirmations, free text prompts ...

Questionary

✨ Questionary is a Python library for effortlessly building pretty command line interfaces ✨

• Features
• Installation
• Usage
• Documentation
• Support

import questionary

questionary.text("What's your first name").ask()
questionary.password("What's your secret?").ask()
questionary.confirm("Are you amazed?").ask()

questionary.select(
    "What do you want to do?",
    choices=["Order a pizza", "Make a reservation", "Ask for opening hours"],
).ask()

questionary.rawselect(
    "What do you want to do?",
    choices=["Order a pizza", "Make a reservation", "Ask for opening hours"],
).ask()

questionary.checkbox(
    "Select toppings", choices=["foo", "bar", "bazz"]
).ask()

questionary.path("Path to the projects version file").ask()

Used and supported by

Features

Questionary supports the following input prompts:

• Text
• Password
• File Path
• Confirmation
• Select
• Raw select
• Checkbox
• Autocomplete

There is also a helper to print formatted text for when you want to spice up your printed messages a bit.

Installation

Use the package manager pip to install Questionary:

$ pip install questionary
✨🎂✨

Usage

import questionary

questionary.select(
    "What do you want to do?",
    choices=[
        'Order a pizza',
        'Make a reservation',
        'Ask for opening hours'
    ]).ask()  # returns value of selection

That's all it takes to create a prompt! Have a look at the documentation for some more examples.

Documentation

Documentation for Questionary is available here.

Support

Please open an issue with enough information for us to reproduce your problem. A minimal, reproducible example would be very helpful.

Contributing

Contributions are very much welcomed and appreciated. Head over to the documentation on how to contribute.

Authors and Acknowledgment

Questionary is written and maintained by Tom Bocklisch and Kian Cross.

It is based on the great work by Oyetoke Toby and Mark Fink.

License

Licensed under the MIT License. Copyright 2021 Tom Bocklisch.