A lightweight Python interface for annotating things.
A human-friendly Python library for asking people questions on the command-line.
Data often needs a human eye. I found myself writing over and over the code to help me investigate data manually on the command-line; questioner is my attempt to make this tool the right way once.
It’s suitable for:
- Labelling data manually faster than you can in excel spreadsheets or similar setups
- Active learning loops where you and a machine-learnining agent collaborate, reducing the need for training data
- Short question-based UIs on the command-line where you need a user’s input to continue
You write a simple Python api that asks you things.
import questioner with questioner.Cli() as c: is_hurt = c.yes_or_no('Are you hurt') symptom_set = c.choose_many( 'What symptoms do you have?', ['pain', 'nausea', 'anxiety'], ) rating = c.give_an_int( 'How would you rate this experience (1-5)', 1, 5 ) choice = c.choose_one('Which do you like best', ['dogs', 'cats', 'horses'])
On the terminal
When run, the experience on the terminal looks like the following:
$ python -m questioner.demo Are you hurt? (y/n) n What symptoms do you have? pain? (y/n) y nausea? (y/n) n anxiety? (y/n) n How would you rate this experience (1-5) 3 Which do you like best 0. dogs 1. cats 2. horses 1
The user can by default skip a question (raising QuestionSkipped) by pressing enter, or quit the entire cli by pressing q (raising QuitCli).
- Support for boolean, numeric, single-choice and multiple-choice questions
- Uses single-keystroke input where possible
- First release on PyPI.
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