Python Frameworks

What makes Python is easier to learn and work? The answer is Python Frameworks. Learning Python Frameworks will enable you to automate the implementation, reduces the task, time-consuming, and developer can focus on application logic. The demand for Python has been increasing because of its popularity and simple to use policy. In this blog, we are going to talk about Python frameworks and their key features. So what you are waiting for, let’s get started with Python Framework

Python Frameworks types

As I said earlier these frameworks make Python easier to learn and work on different platforms.I would like to mention there are 3 primary or key Frameworks available, they are;

Full-Stock Python Framework:

This Full-Stock framework is known for its One-stop solution for all the users’ requirements.  The main purpose of using this Full-Stock framework is to generate,validate, and layout templates.

Python Micro-Frameworks:

These Frameworks are light; due to this, they don't support additional features or functionalities. The functionalities may include a database abstraction layer, validating databases, advanced tools, and structures. While working with Micro Framework, the developer needs to add extra codes and also additional developing requirements

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Asynchronous Framework:

Asynchronous frameworks are a popular framework; these frameworks are a type of Microframework. This framework is used to handle a large set of database connections. Mainly python's asynchronous framework uses the programming language’s library called asyncio.

Additional Python Frameworks for 2020

Along with the three primary frameworks, Python has come up with many additional frameworks to support developers in coding, and implementing process. Let’s have a deep look into these frameworks,


AIOHTTP is a type of Asynchronous framework. This framework mainly used in Python 3.5 version, the features included are async and awaits connection. AIOHTTP framework makes use of Python's asyncio library, that's why it is called an asynchronous framework. In addition to providing async, this also offers server web frameworks and transmits requests to client frameworks.

Key features:

  • AIOHTTP framework allows the developer to build the views effectively.
  • Supports middleware connections.
  • Scalable pluggable routing.
  • Signals and routers.
  • This is the only framework that supports both client-level web sockets as well as server-level web sockets without using the Callback method.

2. Bottle:

Bottle framework is a type of micro-framework, which creates only a single source file for all the applications being used. This type of framework mainly used in building APIs (Application programming interface). It has no dependencies for crafting smaller web applications. The primary advantage of using this Botte framework enables the developer to work closely with hardware applications.

Key features:

  • Bottle framework’s adapter supports 3rd party structural template engines and Web servers/ HTTP servers.
  • This framework allows the user to access cookies in a web browser, database connections, and file uploads/downloads, and another kind of prototype-related metadata.
  • It is built only to support the HTTP server.
  • Bottle plugin functionality supports access to different databases.
  • Offers a request- transferring router which is having URL- parameters.


CherryPy framework is a type of micro-framework. This is one of the popular open-source, and object-oriented frameworks that consists of minimalistic functionalities. CherryPy framework is one of the oldest frameworks, which has been using since 2002. CherryPy web applications are a kind of stand-alone application that can run on multithreaded web server Operating systems. Because of this feature Python can be deployed anywhere and make it run on any operating systems. 

Key Features:

  • CherryPy tools support out-of-the-box authentications, decoding/encoding sessions, static web content, and caches.
  • Offers a flexible set of built-in plugin methods.
  • HTTP 1.1 prototypes related to the pooled web server.
  • Inbuilt methods developed to support covering, testing, and profiling functionalities.
  • It's very simple to use and run on multiple HTTP server threads.
  • Provides the most powerful system configurations.
  • Runs on any kind of Android system.

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3. Cubic Web:

The Cubic Web is a type of Full-stack framework, first developed by the company called Logilab. It is a very easy-to-use, open-source, and web-based python framework. Cubic Web works on the base of data model type, and functional applications being used. This Cubic Web framework uses the separate type of Views, and data models. They always make use of cube to create an instance database server, web servers, and configuration files.

Key features:

  • Web ontology language (OWL ) and Resource description framework support
  • Reusable components during the time of implementations.
  • Offers security level workflows.
  • Simplifies the data related issue with the use of relational query language.
  • This framework always supports multiple database applications.

 4. Dash:

Dash is a type of Micro framework which is open-source, and a complete python-based framework used to build analytical-based web applications. This Framework is considered to be an ideal framework for Data Scientists. Web-based applications are designed with Dash which will be run flask and enables them to communicate with JSON packets through HTTP requests. These types of Flask can be reused again for extending the features of the Dash Framework.

Key Features:

  • Dash applications have less boilerplate codes.
  • Enables error handling and the troubleshooting method.
  • Provides a high-level of customization.
  • Offers LDAP integration or Dash deployment servers.
  • Plugin and routers support.
  • Consists of simple user interfaces, drop-down methods, graphs, and sliders applications.
  • URL routing/ Dash deployment server.

5. Django:

Django is a type of Full-stack framework. Django is considered to be one of the popular web-based development frameworks for developing Python’s server applications. Now it is listed as one of the 10 web-based development python frameworks of 2020. Django works based on Don’t Repeat Yourself principles. It is free-to-use and open-source python Full-stack frameworks.

Key Features:

  • Django consists of ready-to-use packages or libraries.
  • This is framework supports for authentications.
  • Data-base type of schema migrations.
  • Supports object-oriented and relational database applications.
  • System template engine
  • URL routers and plugins.

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6. Falcon:

Falcon is a type of Micro Framework. The main purpose of using the Falcon framework to build APIs for web applications. Unlike other frameworks, no need of loading a lot of HTTP APIs dependencies, but Falcon framework allows only clean designs of HTTP requests and APIs. Falcon framework can handle the web HTTP requests, and code contemporaries. Falcon is used by many biggies such as LinkedIn, Google, and Rackspace.

Key features:

  • The flacon is one of the highly-optimized and extensible code bases frameworks.
  • Web-based DRY requests can be processed through middleware components using Falcon.
  • Easy to access headers through HTTP requests, and classes.
  • Offers extra speed with the help of Cython.
  • Supports HTTP requests to handle error responses.
  • REST- resources and URI templates routing.
  • Provide Unit testing through WSGI mocks.
  • Error handler or Exception handling methods.

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7. Flask:

Flask is a type of micro-framework available under the governance of a BSD license. Flask is one of the popular Frameworks which are designed on the base of the Ruby framework. This type of framework requires Jinja templates and WSGI request toolkits. Flask is available in the form of a lightweight and modular designing methods. One of the primary aspects of using Flask is to build a solid web-based application foundation. This framework is used by Google as a Google app engine.

Key features:

  • Flask provides Built-in debugger tools
  • HTTP request handler
  • Inbuilt web server developments
  • Jinja templates
  • Dispatch of REST requests
  • Always support for plugins
  • Supports users to secure their cookies mainly used them to establish a connection between Client-side sessions.
  • Unicode type of methods are available
  • Helps developers during the time of unit testing

8. Giotto:

Giotto is a type of Full-stack framework. Giotto is designed based on the Python view controller pattern; this is a kind of application framework. This type of framework is used by web designers, web developers, and system administrators to pursue independent work. The main function of Giotto is to separates the modular view, and controllers. Giotto's controller modules are used to create apps on the top of web applications, internet Relay Chat, and command-line interfaces.

Key features:

  • Offers automatic URL routers.
  • SQL Alchemy database persistence.
  • Enables users to work on succinct codes.
  • Functional patterns CRUD.
  • Generic models, controllers, and views.
  • An inbuilt cache like MemCache, and Redis.
  • Jinja 2 for HTML templates usage.
  • Supports multiple plugins controllers.
  • REST full interfaces available with normal “browser CRUD” sites.

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9. Growler:

Growler is a type of Asynchronous framework. This is designed on the base of NodeJS, and the express or connects frameworks.  Growler is nothing but micro-based web frameworks, which use the asyncio library.  The major advantage of using Growler is that it never handles the requests, but they will be transmitted through middleware technologies. Growler mainly used to implement complex applications.

Key features:

  • It’s very easy to view program flow due to less number of callbacks, and except blocks.
  • Contains multiple open-source packages.
  • Allows developers to write clean and reusable codes.
  • Ziapp module in Growler allows users to maintain an entire zipping application in a single file.

10. HUG:

A hug is a type of micro-framework. The hug is mainly designed to help Python developers to work on API applications. This python framework minimizes the API development task by providing multiple programming interfaces. It is described as the fastest web application framework used in Python version 3.0. This Hug framework allows the developer to finish the application easily and quickly by using HTTP or CLI requests.

Key features:

Supports powered, and annotation validation.

This framework mainly works on principle like write once, and use it anywhere,

Provides default version of inbuilt management.

Offers automation of testing the documents.

11. Pylons:

Pylon is a type of full-stack framework. This framework available in the form open-source always focuses on the rapid application developments. Pylon framework is considered as the best framework for Perl, Python, and Ruby languages. Pylon’s maintenance mode makes python developers to still use the frameworks because of its high-level flexibility.

Key features:

  • Provides HTML form of validations and code generations.
  • Routes and plugin
  • Available in the form of text-based templates.
  • Universal resource language (URL) dispatches.
  • URL browser mapping on the base of configurations.

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12. Pyramid:

The pyramid is a type of Full-stack framework. This is one of the leading python frameworks. The main function of the Pyramid is to provide open-source functionalities. The very important thing is that entire python-based web development applications can be developed in a minimal complexity. It contains a multitude of resources, and as well as requirements.

Key Features:

  • Supports flexible authentications and authorization of application developments.
  • Offers functional decorators.
  • Predicates, and renderers
  • Single-life application capacity.
  • Templating specifications.
  • Generation of URLs.


This blog explains the importance of Python frameworks in the implementation of codes.Python frameworks make it easier to write codes, implement, and reuse of Codes. There are many frameworks available in the Python language, but here I have mentioned very important ones,which are used widely. I hope this blog may help a few of you who are interested in pursuing their professional career in Python, and also for many Python community forums.

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Research Analyst
As a senior Technical Content Writer for HKR Trainings, Gayathri has a good comprehension of the present technical innovations, which incorporates perspectives like Business Intelligence and Analytics. She conveys advanced technical ideas precisely and vividly, as conceivable to the target group, guaranteeing that the content is available to clients. She writes qualitative content in the field of Data Warehousing & ETL, Big Data Analytics, and ERP Tools. Connect me on LinkedIn.