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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.
Dapr (Distributed Application Runtime) is a free and open source runtime system designed to support cloud native and serverless computing. [2] Its initial release supported SDKs and APIs for Java, .NET, Python, and Go, and targeted the Kubernetes cloud deployment system.
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.
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.
For example, many frameworks provide libraries for database access, template processing and session management, and often promote code reuse. Though they often target development of dynamic websites they are also applicable to static websites. This category lists web frameworks written in and/or designed for use with Python.
CherryPy is an object-oriented web application framework using the Python programming language.It is designed for rapid development of web applications by wrapping the HTTP protocol but stays at a low level and does not offer much more than what is defined in RFC 7231.
Conductor was developed by Netflix to solve the problems of orchestrating microservices and business processes at scale in a cloud native environment. [3] It was released under the Apache License 2.0 and has been adopted by companies looking to orchestrate their processes at scale in a cloud native environment. [4] [5]
Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using webhooks. [4] There is also a Ruby-Client called RCelery, [5] a PHP client, [6] a Go client, [7] a Rust client, [8] and a Node.js client. [9] Celery requires a message broker to run.