Skip to main content

A simple, elegant Python framework for creating and running interactive quizzes

Project description

Quizy

Overview

A lightweight, API-first Python quiz framework for creating interactive quizzes and assessments. Features async execution, timers, partial credit, shuffling, and AI-powered question generation.

Key Features:

  • Async/await support with execute_async()
  • Real-time countdown timers with visual feedback
  • Partial credit for flexible grading
  • Question option shuffling and randomization
  • Interactive CLI with color-coded results
  • AI-powered question generation via OpenAI

Installation

pip install quizy # comes with OpenAI

MCP Server Integration

Use Quizy with GitHub Copilot via the Model Context Protocol (MCP). This allows AI to generate, validate, and analyze quizzes directly.

pip install quizy[mcp]

Then configure the MCP server in VS Code and use Copilot Chat:

@quizy Generate a Python quiz with 5 hard questions

Available MCP Tools:

  • generate_quiz - Create AI-powered questions
  • validate_question - Check question quality
  • create_quiz_from_questions - Build quiz objects
  • analyze_difficulty - Analyze question distribution

For detailed setup instructions, see docs/MCP_SETUP.md.

Adding Manual Questions

Create different question types:

from quizy import Quiz, MultipleChoiceQuestion, MatchingQuestion

quiz = Quiz(title="My Quiz", time_limit=60)

# Multiple Choice
quiz.add_question(MultipleChoiceQuestion(
    text="What is the capital of France?",
    options=["London", "Berlin", "Paris", "Madrid"],
    correct_answer="Paris",
    shuffle_options=True,
    time_limit=10
))

# Matching
quiz.add_question(MatchingQuestion(
    text="Match programming terms",
    pairs={
        "def": "Function definition",
        "class": "Class definition",
        "async": "Asynchronous function"
    },
    shuffle_answers=True,
    allow_partial_credit=True,
    time_limit=15
))

# Define a synchronous answer provider for terminal input
def your_answer_provider(question, idx):
    print(f"\nQuestion {idx+1}: {question.text}")

    # Show options if available
    options = question.get_options()
    if options:
        for i, opt in enumerate(options, 1):
            print(f"{i}. {opt}")

    # Get user input
    user_input = input("> ")

    # Convert input to correct option if needed
    if options:
        try:
            choice = int(user_input)
            return question.get_option_by_index(choice)
        except:
            return user_input.strip()
    return user_input.strip()


# Run the quiz synchronously (if you use in the terminal)
result = quiz.execute(your_answer_provider)
print(f"Score: {result.score_percentage:.1f}%")

Adding AI-Generated Questions

Generate quiz questions automatically using OpenAI and test it on terminal using QuizCLI:

from quizy import Quiz, QuestionType
from quizy.ai_generator import AIQuestionGenerator
import time

# Initialize AI generator
generator = AIQuestionGenerator()

# Generate questions (synchronously)
questions = generator.generate_questions_set(
    topic="Python Programming",
    num_questions=5,
    question_types=[
        QuestionType.MULTIPLE_CHOICE,
        QuestionType.TRUE_FALSE,
        QuestionType.MULTIPLE_SELECT,
        QuestionType.SHORT_TEXT,
        QuestionType.MATCHING,
    ],
    difficulty="medium"
)

# Create the quiz
quiz = Quiz(title="AI-Generated Python Quiz")
for q in questions:
    if q:
        quiz.add_question(q)

# Define a synchronous answer provider for terminal input
def your_answer_provider(question, idx):
    print(f"\nQuestion {idx+1}: {question.text}")

    # Show options if available
    options = question.get_options()
    if options:
        for i, opt in enumerate(options, 1):
            print(f"{i}. {opt}")

    # Get user input
    user_input = input("> ")

    # Convert input to correct option if needed
    if options:
        try:
            choice = int(user_input)
            return question.get_option_by_index(choice)
        except:
            return user_input.strip()
    return user_input.strip()

# Run the quiz synchronously (if you use in the terminal)
result = quiz.execute(your_answer_provider)

# Show results
print(f"\nQuiz completed! Score: {result.score_percentage:.1f}%")
print(f"Correct answers: {result.correct_answers}/{result.total_questions}")

Running Interactive Quizzes

Use the CLI for formatted output with timers and progress:

from quizy import QuizCLI

# Run with timer display
QuizCLI.run_interactive(quiz, show_timer=True)

# Get detailed results breakdown
QuizCLI.display_detailed_results(result)

Question Types

  • MultipleChoiceQuestion: Single correct answer
  • MultipleSelectQuestion: Select all correct answers (supports partial credit)
  • MatchingQuestion: Match items to descriptions (supports partial credit)
  • TrueFalseQuestion: Binary choice
  • ShortTextQuestion: Free-form text answers

Future Enhancements (v0.5+)

  • Web-based UI components
  • Database integration for result persistence
  • Advanced analytics and reporting
  • Real-time leaderboards
  • Support for more AI providers (Claude, Gemini, etc.)
  • More partial credit options
  • Fine-tuning for domain-specific questions

Support

GitHub: https://github.com/rustampy/quizy | Issues: https://github.com/rustampy/quizy/issues

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

quizy-0.4.7.tar.gz (27.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

quizy-0.4.7-py3-none-any.whl (18.4 kB view details)

Uploaded Python 3

File details

Details for the file quizy-0.4.7.tar.gz.

File metadata

  • Download URL: quizy-0.4.7.tar.gz
  • Upload date:
  • Size: 27.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for quizy-0.4.7.tar.gz
Algorithm Hash digest
SHA256 f1e0e90d8b606dd2aad127cf5f482536324a13ea32e8fbafde77d617bb3f8e99
MD5 7b25fc70e5c0e967004eb1d941dab200
BLAKE2b-256 43b998f67bba592170c8299c20cb5e696fef99f5d1521253ae14a255bd82359d

See more details on using hashes here.

File details

Details for the file quizy-0.4.7-py3-none-any.whl.

File metadata

  • Download URL: quizy-0.4.7-py3-none-any.whl
  • Upload date:
  • Size: 18.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for quizy-0.4.7-py3-none-any.whl
Algorithm Hash digest
SHA256 289f7323633a8bacd48d0c57c2e138a0cf5bc47348f94007fc7b5d8a9f1e029d
MD5 92438ab9ca66fbcd803bb05e00f9876d
BLAKE2b-256 c62bdb1142469a76e63416e381f659d70a5633846cff32461d5a2b76901dcf91

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page