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Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries. [ 2 ] It has no database abstraction layer, form validation, or any other components where pre-existing third-party libraries provide common functions.
FastAPI is a high-performance web framework for building HTTP-based service APIs in Python 3.8+. [3] It uses Pydantic and type hints to validate, serialize and deserialize data. FastAPI also automatically generates OpenAPI documentation for APIs built with it. [4] It was first released in 2018.
Flask: Python Yes - - Yes ORM-agnostic via unittest depends on ORM Yes Jinja2: Yes Yes Yes Jam.py: Python, JavaScript: Yes Event driven Yes Yes Yes via pytest and mocha Yes Yes Yes Yes Yes Yes Pyjs: Python, JavaScript: Yes Use PureMVC Python version (compiled to JavaScript) Yes ??, no direct data access No No Pylons: Python helpers for ...
Jinja is a web template engine for the Python programming language. It was created by Armin Ronacher and is licensed under a BSD License. Jinja is similar to the Django template engine, but provides Python-like expressions while ensuring that the templates are evaluated in a sandbox. It is a text-based template language and thus can be used to ...
In 2003, Python web frameworks were typically written against only CGI, FastCGI, mod_python, or some other custom API of a specific web server. [6] To quote PEP 333: Python currently boasts a wide variety of web application frameworks, such as Zope, Quixote, Webware, SkunkWeb, PSO, and Twisted Web -- to name just a few.
Python web frameworks that run on Google App Engine include Django, CherryPy, Pyramid, Flask, and web2py as well as a Google-written web app framework and several others designed specifically for the platform that was created after the release. [6]
Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [37] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community. [38] [39] [40] [41]
Tools also provide a syntax and configuration API for turning them on and off for a specific set of handlers. A configuration system for developers and deployers . [9] [10] [11] CherryPy deployments are configurable on site, on application and on controller level, through Python dictionaries, configuration files, and open file objects.