In Python REST APIs, how do I choose libraries?

When developing REST APIs in Python, choosing the right libraries is crucial for building efficient and maintainable applications. Popular libraries include Flask, Django REST Framework, FastAPI, and Tornado. Each has its own strengths: Flask is lightweight and flexible, Django REST Framework provides powerful features and a robust ecosystem, FastAPI is known for its performance and automatic validation, and Tornado is excellent for handling asynchronous requests.

# Example of a simple Flask API from flask import Flask, jsonify app = Flask(__name__) @app.route('/api/data', methods=['GET']) def get_data(): return jsonify({"message": "Hello, World!"}) if __name__ == '__main__': app.run(debug=True)

Python REST API libraries Flask Django REST Framework FastAPI Tornado

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