Top 20 Python Web Frameworks to Use in 2019

Top 20 Python Web Frameworks to Use in 2019

Python is a high-level, interpreted and dynamically-typed language that implements OOP (Object-oriented Programming Language) basic concepts.

It has a distinct syntax that makes it stand out amongst other programming languages like C, C++, and Java. Thus, it is easy and simple to learn.

Most Web Development Company developers use frameworks to develop apps and create code. Frameworks provide a definite structure to help the developer focus on the core app logic than on other things.

Python Frameworks requires a platform to code and while choosing it, you need to consider the complexity and size of your project or app.

Types of Frameworks:

Python Frameworks can be divided into two types:

  • The frameworks that provide a one-stop solution for every requirement a developer can have are called full-stack frameworks. With a typical full-stack framework, you get form validation, template layouts, and form generators.
  • Microframework and asynchronous framework are non-full-stack frameworks. Microframework doesn’t offer additional features and functionalities while the asynchronous framework is a type of microframework that let developers handles an immense set of in-sync connections.

Top 20 Best Python Web Frameworks:

When you are clear on what kind of framework you need for your project, you can then choose the framework you want. For ease of purpose, the Top Python Frameworks of 2019 are divided according to their types.

Full-stack Frameworks:

1. Django

Django is a full-stack, open source, free Python Frameworks that composes complex code the best. The size of libraries and its effectiveness, reduced coding time and so one makes this framework very popular.

The key highlights of Django include:

  • A range of ready-to-use libraries
  • URL routing
  • Authentication support
  • Template engine
  • Migrating database architecture
  • ORM (Object-relational Mapper)
  • Web server support

2. Web2Py

For those looking for a scalable full-stack Python framework, Web2Py is the answer. This open-source framework comes with its personal IDE based on the web that includes one-click deployment, debugger and code editor.

The key features of Web2Py include:

  • Backward compliance
  • Follows the pattern of Model View Controller
  • Lacking configuration and installation requirements
  • Offers support for internationalization
  • Access control based on role

3. TurboGears

TurboGears is an open-source, data-driven, full-stack Python framework that allows developers to quickly create protractile web apps driven by data.

The key benefits of TurboGears include:

  • All features completed as function decorators
  • MVC-style structure
  • PasteScript templates
  • Support for multi-database

4. CubicWeb

Curated and developed by Logilab, this full-stack is free, open-source, semantic Python web application framework.

Unlike other frameworks that use models and views, CubicWeb uses a cube. Several cubes are joined to create an instance assisted by a database, web server and other configuration files.

The key benefits of CubicWeb include:

  • Web Ontology Language and Resource Description Framework support
  • Support for several databases
  • Reusable elements
  • Streamlines queries related to data with Relational Query Language embedding
  • Security workflows

5. Giotto

Giotto is based on the pattern of Model View Controller and is a full-stack Python Framework. To allow web developers and designers, and system admins to work autonomously, Giotto divides Model, View, and Controller (MVC) components in order.

The main benefits of Giotto include:

  • Intuitive URL routing
  • Various pluggable controllers
  • Database tenacity with SQLAlchemy
  • Jinja2 for HTML templates
  • Practical CRUD patterns
  • Built-in cache with support for Redis and Memcache
  • Generic views and models
  • Extremely brief code

6. Pylon

It is an open-source framework focused on rapid application development. The framework is created by integrating some of the most effective properties and elements of languages including Ruby, Perl, and Python. To advance reusability, Pylon makes extended use of Web Server Gateway Interface (WGSI).

The key benefits of Pylon include:

  • HTML form generation and validation
  • Routes configuration-based URL mapping
  • Routes
  • URL dispatch
  • Templating based on text

7. Pyramid

A pyramid is among the most popular Python frameworks. The main objective of the Pyramid is to accomplish a lot with minimal complexity. The most wanted factor of Pyramid is the capability to work well with both small and full-scale applications. Additionally, there are several resources available to increase their abilities based on requirements.

The key benefits of Pyramid include:

  • Flexible authorization and authentication
  • URL generation
  • Function decorators
  • Asset and templating specifications
  • Predicates
  • Single-file application
  • Renderers

8. Quixote

Quixote is a Python web application framework that is noted for its high-performance and flexibility.

The three versions of Quixote are opposing but it is still used by many public sites.

Some key benefits of Quixote include:

  • Uses the libraries of Werkzeug WSGI and Jinja2 Template
  • Open-source framework
  • Distribution demo of Quixote
  • A robust framework that operates according to individual style

Non-full-stack Frameworks:

9. Bottle

For each app developed by using Bottle, it creates a solitary source file. The non-full-stack, microframework was originally created for developing APIs.

The bottle doesn’t depend too much on Python besides the Standard Library.

The key benefits of Bottle include:

  • Adapter support for WSGI/HTTP servers and 3rd-party template powerhouses
  • Allows routes of request-dispatching that have URL-parameter support
  • Provides streamlined access from file uploads, data, cookies and other metadata related to HTTP
  • Plugin support for various databases
  • Built-in HTTP server

10. CherryPy

CherryPy is a widely known object-oriented, open-source Python framework that follows a Spartan approach. This non-full-stack microframework is one of the oldest of Python Frameworks.

Any Python web framework powered by CherryPy is a standalone application with its own implanted web server with multi-thread and operates on any Python-supported OS.

The main benefits of CherryPy include:

  • A selection of out-of-box tools for content, static, sessions, encoding, caching, authentication and many more
  • Operates on Android
  • A built-in, flexible plug-in system
  • Powerful system of configuration
  • Compatible with HTTP/1.1 WSGI web server
  • Offers to streamline for operating several HTTP servers at the same time
  • In-built support for testing, coverage, and profiling

11. Flask

Flask is a widely-used Python Framework licensed under BDS. This microframework needs Werkzeug WSGI Toolkit and Jinja2 Template.

Due to its modular and lightweight design, Flask is easily flexible. Flask lets developers develop a sturdy base for a web application where it becomes permissible to use any sort of extensions needed.

The key benefits of Flask include:

  • Built-in high-speed debugger
  • WSGI 1.0 assent
  • Handling HTTP request
  • Support for unit testing
  • Built-in development server
  • Based on Unicode
  • Jinja2 templating
  • Dispatching RESTful request
  • Supports protected cookies to build client-side concourses

12. Sanic

Created atop uvloop, Sanic is open-source and simple and was developed especially for offering high-speed HTTP responses through asynchronous request management.

The primary benefits of Sanic include:

  • Able to write and read cookies
  • Allows various kinds of logging (access log, error log, etc.)
  • The arrangement object can be transformed by either using a dictionary or dot-notation
  • Views based on class
  • Plug-in support

13. Tornado

Tornado is an asynchronous networking institution and an open-source framework.

Originally developed for a company called FriendFeed (later acquired by Facebook in 2009), Tornado is an exemplary tool for developing apps demanding for increased performance and multiple simultaneous users.

The main benefits of Tornado include:

  • Provides an implementation of 3rd-party authorization and authentication schemes
  • Web templating
  • Provides high-quality output
  • Support for user authentication
  • Real-time services
  • Supports localization and translation

14. AIOHTP

AIOHTP falls under the asynchronous non-full-stack frameworks category.

This Python Framework depends heavily on the features of Python 3.5+, such as awaits and async. It uses the asyncio library of Python, thus it’s an asynchronous framework.

The key highlights of AIOHTP include:

  • Allows building views effectively
  • Server WebSockets and Client WebSockets are supported by this framework minus the Callback Hell
  • Middlewares support
  • Signals
  • Pluggable routing

15. Dash

This microframework is used to build evaluating web applications. It is the best Python Framework for data scientists who aren’t involved much into web development.

Since apps developed with Dash are created in the web browser and they can be redistributed to servers, they are mobile-ready and cross-platform.

Some key benefits of Dash include:

  • Apps made by Dash requires a less boilerplate code to get started
  • URL routing
  • Error handling
  • Simple interface for sliders, graphs, dropdowns, etc.
  • Extreme customization
  • Plug-in support
  • LDAP integration

16. Falcon

Meant to quickly develop web APIs, Falcon is a widely used microframework. While other Python Frameworks require installing plenty of dependencies for developing HTTP APIs, Falcon lets developers develop a sleeker design that enables REST and HTTP blueprints.

Some benefits of Falcon include:

  • An highly-optimized, extensible code base
  • Handling exception upfront
  • Processing DRY request through middleware hooks and components
  • Testing units through WSGI mocks and helpers
  • Ease of access for bodies and headers through response and request classes
  • Resource classes inspired by REST and URI templates provide intuitive routing
  • Add-on speed boost with support from Cython
  • Idiomatic HTTP mistake responses

17. Growler

Growler is a microframework written on top of the Python asyncio library. Unlike other traditional Python frameworks, Growler requests are outsourced to middleware technology instead of being handled by the framework.

A popular choice for quickly and easily implementing complicated applications, Growler was basically created by its writer to simply learn how to manage asyncio library at its lowest levels.

The benefits of Growler include:

  • Program flow is easy to see because of the absence of expected callbacks and proper except/try blocks
  • Ziapp module supports zipping a whole application into a separate executable file
  • Support for a number of open-source units
  • Use decorators for composing reusable, clean code

18. Hug

The hug is outlined to let developers develop an API one time and then use it wherever they want. The Python framework orders API development by means of offering several interfaces.

It is said to be the fastest Python web framework. To boost performance, Hug uses resources only when needed and utilizes Cython for gathering.

The key benefits of Hug include:

  • Validation powered by annotation
  • Follows the philosophy of write once, use wherever
  • Built-in version management
  • Supports intuitive documentation

19. MorePath

Requiring only minimal footprint during setup, MorePath is labeled as the superior Python web framework. It is created particularly for getting the most of the general use cases and operating ASAP. MorePath is flexible and driven by the model web framework.

The key benefits of MorePath include:

  • Every view is generic
  • Powerful, flexible and simple permissions
  • All necessary tools attached to create RESTful web services
  • Extensible with a universal, simple and coherent addition and reverse mechanism
  • Developing universal user interfaces is as easy as subclassing

20. Pycnic

Considered to be the fastest microframework for developing APIs based on JSON, Pycnic is an OOP framework. Pycnic is small but it’s able to hold its ground effectively among major players. Also, it has a minimal footprint which makes it fast.

The key benefits of Pycnic include:

  • Inbuilt error handling
  • Cookies support
  • Capable of managing requests based on JSON
  • Routing handling

Conclusion

The framework that you choose for your project obviously depends on the objective of your work and also on you.

Every framework has its share of cons and pros, but developers too have their own preferences and coding styles.

The success of your project might depend on what framework you choose, so choose the one most useful for you and your team.

No Comments

Post a Comment

Your email address will not be published.

Whatsapp Logo