TOP 10 Python frameworks IN 2023

here are ten popular Python frameworks across various domains, including web development, machine learning, and more:

1. Django: A high-level web framework that encourages rapid development and clean, pragmatic design. It’s known for its robust features, including an ORM (Object-Relational Mapping) system and built-in admin interface.
2. Flask: A lightweight and flexible micro web framework that is simple to use and easy to get started with. It’s often chosen for smaller web applications and RESTful APIs.
3. FastAPI: A modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. It’s known for its automatic OpenAPI documentation generation.
4. PyTorch: While not a web framework, PyTorch is a popular deep learning framework. It’s especially favored by researchers and offers dynamic computation graphs.
5. TensorFlow: Another powerful deep learning framework that has gained significant traction. It’s developed by Google and is known for its scalability and deployment options.
6. Flask-RESTful: An extension for Flask that adds support for quickly building REST APIs.
7. Tornado: A web framework and asynchronous networking library often used for building highly scalable, non-blocking web applications.
8. CherryPy: A minimalistic web framework that is simple to understand and easy to get started with, making it a good choice for small to medium-sized web applications.
9. Kivy: An open-source Python library for developing multitouch applications. It’s commonly used for building cross-platform mobile applications and multi-touch desktop applications.
10. Dash: A Python web application framework that is particularly well-suited for building interactive, analytical web applications. It’s often used for data visualization and reporting.