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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.
Its initial release supported SDKs and APIs for Java, .NET, Python, and Go, and targeted the Kubernetes cloud deployment system. [3] [4] The source code is written in the Go programming language. It is licensed under Apache License 2.0 and hosted on GitHub. [5] Dapr is a CNCF project and graduated in November 2024. [6]
MVC framework MVC push-pull i18n & L10n? ORM Testing framework(s) DB migration framework(s) Security framework(s) Template framework(s) Caching framework(s) Form validation framework(s) Scaffolding RAD Mobility CakePHP: PHP >= 7.2 [79] Any Yes Yes, Push & Cells Yes ORM, Data Mapper Pattern, SQL Relational Algebra Abstraction Layer
The framework aims to alleviate the overhead associated with common activities used in web development. For example, many frameworks provide libraries for database access, template processing and session management, and often promote code reuse .
TurboGears is a Python web application framework consisting of several WSGI components such as WebOb, SQLAlchemy, Kajiki template language and Repoze.. TurboGears is designed around the model–view–controller (MVC) architecture, much like Struts or Ruby on Rails, designed to make rapid web application development in Python easier and more maintainable.
Tornado is a scalable, non-blocking web server and web application framework written in Python. [2] It was developed for use by FriendFeed ; the company was acquired by Facebook in 2009 and Tornado was open-sourced soon after.
Dask is an open-source Python library for parallel computing.Dask [1] scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy.
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.