The Top 12 Python Frameworks

How many different kinds of Python frameworks are there? Is PyCharm considered a framework? Anaconda is a Python framework. Is NumPy considered a framework? Is Django a complete framework? Which Python framework is the best?

Are you looking for the answers to these questions? Continue reading to discover out.

Introduction

Python is now one of the most popular programming languages. It is a dynamically typed, interpreted, object-oriented programming language that simplifies and logically develops code.

However, when it comes to server communication, Python has restricted capability. As a result, Python employs many frameworks for app development. Python frameworks provide several benefits, including security, organization, accessibility, and decent documentation.

Python offers frameworks for almost every technological sector, but before we go into the many sorts of frameworks, let’s define a Python framework.

What exactly is a Python framework?

A Python framework is a collection of packages and modules that allow developers to construct online applications and services quickly and efficiently. The framework frees developers from dealing with low-level difficulties like protocols, sockets, and thread management.

Python frameworks, on the other hand, minimize development time by offering a prebuilt implementation of duplicate operations.

Python frameworks are used by developers for a variety of reasons.

Python frameworks are used by developers to reuse code for comparable HTTP actions and to offer an application structure and predefined functionality.

Furthermore, most developers prefer frameworks to libraries since they are more idiomatic, reliable, and easier to expand the functions using the frameworks’ tools.

What are the different kinds of Python frameworks?

Python frameworks are classified into three types: full-stack frameworks, micro-frameworks, and asynchronous frameworks. Here’s a quick rundown of each of them:

  1. Full-stack frameworks:

    Full-stack frameworks provide a comprehensive web development solution, including form generators, form validation, and template layouts. Full-stack frameworks provide a variety of applications, however they are challenging to utilize.

    Here are a few examples of full-stack Python frameworks:

    a. CubicWeb
    b. Django
    c. Giotto
    d. Pylons
  2. Micro frameworks:

    Micro frameworks are basic and lightweight frameworks that lack extra functionality such as a data abstraction layer or form validation. These frameworks are appropriate for medium-sized applications.

    Here are a few examples of Micro Python frameworks:

    a. Bottle
    b. CherryPy
    c. Dash
    d. Falcon
  3. Asynchronous frameworks:

    These frameworks, which interact with the Asyncio library, have lately gained popularity. Large amounts of concurrent connections in software and applications are often handled by these frameworks.

    Here are a few examples of Asynchronous Python frameworks:

    a. AIOHTTP
    b. Growler
    c. Sanic
    d. Tornado

Full-Stack Python frameworks

  1. CubicWeb

    CubicWeb is a free and open-source Python framework. This framework enables developers to create web applications fast by reusing components known as cubes. CubicWeb is a powerful framework for creating semantic web applications that are efficient, reusable, and of high quality.

    CubicWeb Python framework highlights include:

    a. Security processes are available.
    b. There is a function for component reusability.
    c. It is compatible with the Resource Description Framework (RDF) and the Web Ontology Language (WOL) (OWL).
    d. Relational Query Language simplifies data-related queries (RQL).
    e. Multiple databases are supported.
  2. Django

    Django is a well-known high-level web application development framework that enables developers to construct Python programs quickly. This framework has a practical design and follows the Don’t Repeat Yourself (DRY) principle.

    Django, in contrast to other Python frameworks, has numerous built-in features rather than separate libraries. Django’s Object-Relational Mapping (ORM) layer connects objects to database tables. Django also has built-in support for a variety of databases, including Oracle, MySQL, and others.

    The following are the highlights of the Django Python framework:

    a. URL Routing
    b. Improved web server support
    c. Improved authentication support
    d. Framework that is very fast
    e. Libraries that are ready to use
    f. Simple to personalize
  3. Giotto

    Giotto is an MVC (Model View Controller) framework. Giotto has a free RESTful interface, automated URL routing, and Jinja2 for HTML templates with API.

    Giotto also includes a controller module that enables users to create programs that run on top of the command line, the web, and Internet Relay Chat (IRC).

    Giotto Python framework highlights:

    a. Common perspectives and models
    b. URL routing is automated and built-in.
    c. Several plug-in controllers are available.
    d. SQLAlchemy database persistence
    e. CRUD patterns that work
    f. There are several RESTful APIs accessible.
  4. Pylons

    Pylons is a web-based open-source framework that focuses on rapid application development. This framework basically combines some of the greatest characteristics and capabilities of popular programming languages such as Ruby, Perl, and Python.

    Key Features of the Pylons Python Framework:

    a. URL distribution
    b. Templating using text
    c. URL mapping based on WebHelpers route setup
    d. Validation and creation of HTML forms

Micro Python frameworks

  1. Bottle

    Bottle is a popular micro web framework for creating Python applications. It has no dependencies and is distributed as a single file module that includes just one Python standard library.

    One of the most essential aspects of the Bottle framework is that it enables programmers to collaborate directly with hardware. The Bottle framework is perfect for building basic personal apps.

    Bottle Python framework highlights include:

    a. HTTP server built-in
    b. Support for many databases through plugins
    c. Adapters provide support for third-party HTTP/WSGI servers and template engines.
    d. File uploads, headers, and cookies are all supported.
    e. There are no external dependencies.
  2. CherryPy

    CherryPy is an open-source and simple framework for rapidly constructing object-oriented web applications. CherryPy programs are self-contained and operate on their multi-threaded web server.

    CherryPy Python Framework Highlights:

    a. Android compatible
    b. Runs on many HTTP servers at the same time
    c. Provides a versatile built-in plugin system
    d. It has a sophisticated setup system.
  3. Dash

    Dash is one of the greatest open-source microframeworks for creating web-based analytical applications. It is ideal for data scientists who are inexperienced with the web development process. Dash apps are similar to web servers in that they exchange JSON packets through HTTP requests.

    Dash utilizes Flask plugins to build its own features since they can be rendered and delivered on webservers. Dash programs are mobile-friendly and compatible with all platforms.

    Dash Python framework highlights include:

    a. Improved plugin support
    b. An efficient error-handling technique
    c. Routing functionality for URLs
    d. LDAP integration capability
    e. Simple user interface
    f. There are several customizing options.
  4. Falcon

    This framework is used by developers to swiftly design and create web APIs. Falcon allows developers to construct visually appealing online applications. Falcon has the ability to enhance and modify current HTTP and REST architectural styles.

    Falcon Python framework highlights include:

    a. An incredibly efficient and extensible codebase.
    b. HTTP error response time is precise and efficient.
    c. Mocks and WSGI helpers enable unit testing.
    d. Request and response classes make it simple to manage and access bodies and headers.
    e. DRY requests are handled by hooks and middleware components.
    f. Developers may speed up their apps even further with Falcon’s assistance.

Asynchronous Python frameworks

  1. AIOHTTP

    AIOHTTP is a well-known asynchronous Python framework that is built on Python 3.5+ capabilities like as Async and Awaits. The Asyncio library is used by AIOHTTP, a client-side framework.

    One of the most significant advantages of AIOHTTP is that it supports both server and client WebSockets without the need for Callback Hell. AIOHTTP additionally comes with a router and a request object for redirecting inquiries to functions.

    The following are the key features of the AIOHTTP Python framework:

    a. HTTP servers are supported.
    b. Provides web servers with pluggable routing and middleware.
    c. Provide efficient view construction
  2. Growler

    Growler is built on the express framework of Node.js, Object Relational Mapping (ORM), and Templating. It is comparable to AIOHTTP.

    Rather of handling queries, Growler routes them via middleware technology. It is one of the top Python framework options since it simplifies complicated app development.

    Growler Python Framework Highlights:

    a. More decorators should be used to develop reusable and effective code.
    b. The Ziapp concept is available to bundle the whole program into a single executable file.
    c. A large number of open-source software are supported.
  3. Sanic

    Sanic is a Python framework that is open source and is based on the uvloop framework. One of its key advantages is that it uses asynchronous request processing to give quick HTTP responses.

    Sanic additionally supports request handlers and compares them to Python 3.5’s Await or Async routines. Sanic delivers non-blocking capabilities and better performance in software and apps as a consequence of this compatibility.

    The following are the highlights of the Sanic Python framework:

    a. Support for plugins
    b. Class-based perspectives
    c. Capable of writing and reading cookies
    d. Allows for a variety of error reports and access logs.
    e. Handlers with simple decorator support are available.
  4. Tornado

    Tornado is one of the greatest Python frameworks since it has database support, URL handling, HTML templates, and other essential components for every kind of application.

    Tornado simplifies web server development by emphasizing non-blocking operations. This framework is also capable of handling a large number of open connections.

    Tornado Python framework highlights include:

    a. Extensive localization and translation assistance
    b. Techniques for web templating are available.
    c. Services in real time
    d. Provides effective outcome
    e. Allows the use of third-party authorisation and authentication.

So, which Python framework is best for you?

Despite the fact that there are multiple popular and in-demand Python frameworks, each has its own set of benefits and drawbacks. Choosing a Python framework is heavily influenced by the project needs as well as the developer’s previous expertise with the framework.

However, if you want to construct an application using a certain framework but don’t have the necessary resources, consider Works.so. Works AI-powered Intelligent Talent Cloud will assist you in remotely sourcing, screening, matching, and managing the world’s top software engineers. Works boasts 1.5 million+ developers from 150 countries that are fluent in 100+ languages such as Python, Ruby, Java, Kotlin, and others.

Are you a Python developer seeking for remote work? If so, consider Works! Works can assist you in obtaining a high-growth, remote position with some of the greatest US organizations. More information may be found on the Jobs page!

FAQs

  1. What exactly is a Python framework?

    The Python Online framework is a collection of packages and modules that allow developers to construct web applications and services. It frees developers from having to deal with low-level concerns like protocols, sockets, and process/thread management.
  2. Which framework is the most often used in Python?

    The most popular Python full-stack framework is Django. Django has a reputation for being incredibly quick and dependable when it comes to constructing complex web applications.
  3. Is PyCharm considered a framework?

    No! PyCharm is an all-in-one programming environment. It facilitates web application development by inheriting all web-related features from IntelliJ IDEA, including JavaScript support.
  4. Anaconda is it a framework?

    Anaconda is a Python and R programming language distribution system designed to make package management and deployment in scientific computing easier.
  5. Is NumPy considered a framework?

    NumPy is a Python programming language library.

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