Top 10 Python Frameworks

The use of the Python programming language is becoming famous among developers for app building projects nowadays. With 11.86% ratings, Python got the second position according to the TIOBE Index. Indeed, Python has beaten Java to acquire the second rank in the TIOBE Index.

Similarly, 48.24% of programmers also favoured Python in the Stack Overflow Developer Survey and ranked it at the 3rd position among the most popular technologies.

These statistics definitely show the growing popularity and usage of Python language among businesses and coders. However, the selection of the right Python framework is also crucial. That is why this guide is going to share the top Python frameworks with pros, limitations and framework types of this programming language.

What is Python?

Python is a widely-used and understandable object-oriented programming language that Guido van Rossum initially introduced in 1991. Its simple syntax, versatility, GUI support and portability features make this high-level programming language appealing for programmers.

The top technology giants that are using Python for their application projects are Netflix, Facebook, Reddit, Google and NASA.

Advantages of Python

Python scripting language offers a variety of benefits to its users. Withal, we are sharing the core advantages of Python here:

  • Python is an easy to read and write programming language, but it’s English like scripting structure also makes it a popular choice to learn and maintain. Because of its easy coding nature, developers also build Python applications with great speed.
  • Python is also a multi-purpose coding language that could be used for distinct kinds of web applications. Withal, many of programmers consider it as the best option for security-centric apps.
  • High portability is another great advantage of Python that developers can utilize. It is seamless to run its code on multiple operating systems, including macOS, iOS, UNIX, Windows and Linux. You can also conveniently integrate it with other programming languages, including Java, Ruby, C, JavaScript and C++. Even its assimilation with C ‘cpython’ is available with more than 39.7K stars and 19.8K forks on GitHub.
  • Indeed, Python is a free coding language that is why all kinds of businesses can benefit from its features. So, whether you are a startup, big enterprise or SME, you can use this language with great efficiency properties.
  • In the same token, Python is an old programming language with a very professional and supportive community. Therefore, in case of any problem with code or project, you can easily find several solutions or resources on the internet. Coders can also use its extensive library support to deal with databases, browsers, threading, documentations, CGI and robotic app testing.

Limitations of Python

With numerous benefits, Python also has few drawbacks that are listed below:

  • Although because of the easy coding structure, it is fast to script applications with Python. But when we correlate it with other languages like C++, JavaScript and Java, some speed issues occur, particularly when developers compile code for big applications.
  • It is a suitable choice for apps with limited memory space because it employs more memory.
  • Unluckily, Python offers less support for mobile applications. Surely it could be a great option when it comes to building web applications, but it doesn’t grant all functionalities that are needed to create mobile apps. Hence, you can say it is not good enough for mobile computing.
  • Python’s layer to approach databases could also be improved.

What is a Framework?

A collection of software modules, tools and artefacts that grants theoretical and technical fundamental aid in building application software is known as a framework.

In the programming world, these frameworks could be reused in the development of distinct applications. Yes, frameworks help coders to avoid repetitive scripts and errors.

Django, Falcon, Web2Py, Bottle and CherryPy are the famous frameworks developers can use for their Python-based applications.

Why use a Framework?

Application or software development is a complicated process, and it consists of a variety of steps like testing, writing code, designing apps and much more.

To make these proceedings easy for software engineers, the use of programming frameworks is ideal. Thus, frameworks don’t only keep your development procedures in order but also provide an appropriate basic structural support to your coding.

Here are the core reasons to use a framework while programming:

  • Reduces Development Time

The major reason for using a framework is its property to overcome development duration. It surely takes less time and energy of coders by providing support for error, session, and data handling.

With a framework, developers also don’t have to take care of authentic logic and data sanitization because it accomplishes these functionalities.

  • Makes Development Process More Organized

The framework also appropriately organizes the app functionalities. Developers don’t have to worry about rearranging distinct files because the framework deals with interface files and web directories autonomously using business logic.

  • Keeps the Code Secure

Frameworks also offer great code security to the developers. With a good framework, programmers don’t have to worry about any cyber-attack on the app’s script. Particularly, frameworks give great security while developing web applications.

  • Community Support

Like programming languages, most of the frameworks are also open-source and have their own big communities. These communities offer solutions and resources to help fellow or novice programmers.

  • CRUD

Frameworks also come with the four key functions of CRUD. Here you create, read, update and delete data with great ease. Framework libraries also make it uncomplicated to administer sessions, approach databases, manage cookies & HTML pages, customize templates, etc.

  • Improves Productivity

Frameworks promote quick prototyping, app deployment and reuse of code. That is why it enhances the development speed of your software. Improved productivity is also the ultimate benefit of fast app development that coders enjoy while using frameworks.

  • Applicable for Teamwork

Another reason for using a framework is its applicability for teamwork. Mainly if you are working with big teams of developers remotely, then frameworks are going to offer you many benefits.

Likewise, your database experts can manage the data-related tasks, and seasoned developers can make sustainable plugins, libraries, etc.

Types of Python Frameworks

Python frameworks are typically divided into three categories. We are discussing them below:

  • Full Stack Framework

A structure or scheme that is used to fulfil all development requirements is known as a full stack framework. This is basically an all-in-one package deal that programmers can use to build and maintain client and server-side interfaces. This framework is also called an enterprise framework because it treats all development-centric issues.

Django, Web2Py and Pyramid are reliable full stack Python frameworks that enterprises and developers can consider using for their projects.

Here are the benefits of full stack frameworks:

  • Full stack frameworks save both money and time. Yes, it is easy to switch between server-side and front-end interfaces of an application with full stack frameworks. Moreover, full stack developers also have more knowledge about both backend and client-side issues. So, they can manage them within less time that improves work efficiency.
  • These frameworks are beneficial for SMEs because they need to hire a full stack programmer to deal with their app’s front and back-end operations.
  • Full stack frameworks are also very scalable. You can upgrade the application according to your requirements. Similarly, full stack developers also have the ability to divide different development functionalities into distinct categories.

Now, let’s cover the next category.

  • Microframework

Microframework is basically a lightweight app development structure that comes with a defined range of capabilities. Conventionally, coders combine a microframework with a full stack framework to develop an application.

Unluckily, these frameworks don’t offer features like form validation, database abstraction, input sanitation, authentication and web template engine.

Bottle, Flask, and Falcon are the major Python microframeworks that developers only use when they need vital development components.

Here are the benefits of Microframework:

  • Microframework is considered the best for small projects. Indeed, microframeworks enhance the development speed when programmers use them for projects with particular needs.
  • These frameworks could be easily used. It is also seamless to understand these frameworks for beginners.
  • Microframeworks are more flexible and versatile compared to full stack frameworks.

Now, let’s cover the next category.

  • Asynchronous Framework

Although asynchronous programming is an old scheme to build an application, but its use for Python has grown in recent years. It is basically parallel computing that works independently compared to the underlying app threads. It is usually used when programmers need to combine the big coexisting networks.

AIOHTTP and Sanic are trustworthy asynchronous frameworks that developers can use for their Python projects.

The core benefits of asynchronous framework are mentioned below:

  • These frameworks are the best if you are looking for improved and well-performing applications.
  • Asynchronous framework neatly arranges the programming scripts. Such frameworks are also easy to understand for teams.

How to build and host a Python application?

Hosting a Python application using a Container-as-a-Service (CaaS) involves a few key steps. First, you’ll need to package your Python application into a Docker container, which involves creating a Dockerfile that outlines the dependencies and instructions for running your application.

Once your Docker container is set up, you can then push it to a Docker registry. From there, you’ll utilize the CaaS platform of your choice, such as Back4app Containers, Google’s Kubernetes Engine, Amazon’s ECS, or Azure’s AKS. These platforms allow you to pull the Docker image from the registry, and then deploy and manage it at scale.

CaaS platforms handle the orchestration, scaling, availability, and security of your containers, making it easier to manage your Python application in a production environment.

Top 10 Python Frameworks

Here are the best ten Python frameworks.

1. Django

Django is a full stack development framework that is one of the most common frameworks available. It has a number of highlighting features that make it stand out, such as a vast number of in-built libraries and its use of the ORM mechanism for database management.

In addition, it is also one of the most well-optimized and fast frameworks available that put an emphasis on security.


Scalable — Programs coded in Django have a vast means to easily scale the applications to add or remove features or to support multiple systems. It can easily add or remove functionalities and have in-built libraries to support an array of features.

Web Server Support — Django can support a number of backend options, but one of the main highlights is that it can support a standalone server for data management and support. Moreover, it supports a number of third-party server management APIs as well.

Object Relational Mapper — ORM can easily map data onto any database manager using Object-oriented techniques.

2. Web2Py

Web2Py is one of the more feature-rich Python frameworks available for full-stack development. It comes with a code editor, debugger and deployment engine. This Python framework also comes with a web-based development engine that makes it fast and dynamic to a project of any size.


MVC Pattern — This full stack development framework employs MVC that can help easily separate the Model Layer from the Presentation Layer (View) and (Controller). This helps in easy updating and swift deployment.

Backwards Compatibility — This Python framework supports a number of older versions of Python. In this regard, you can also use old Python libraries for your projects.

Security — A highlighted feature for this framework is also the prevention of cross-site scripting. This property definitely helps significantly reduce the number of vulnerabilities to your code and other aspects of the application.

Cloud-Based Mechanism — Using the web to run an IDE makes it easy to employ libraries or APIs without much work on the user’s end. It also helps in overcoming the processing and compilation time.

3. Flask

Flask is a microframework that was initially launched in 2010. It comes with powerful API support in the IDE and is packed with powerful features such as real-time visual debugging. It also has a number of backend database management support. It is much easier to adapt to as it has a straightforward toolkit.


Jinja2 Template — Jinja Template makes it a much easier choice for most as it gives Django competitive features while making it simple to code as it is in Python.

Cookie Support — It supports cookies to ensure a smooth running of the application on the client-side. This helps in smoothing the client-side experience with faster loading times and a better user experience.

Debugging in RealTime — Spontaneous debugging is a major feature of Flask that needs to be considered.

4. Bottle

Bottle is one of the lightest Python frameworks available as it makes a much smaller source for each project. This microframework is powerful not only for API creation but also for building smaller applications to be used for the web.


HTTP Server — The built-in server allows this to be used with any WSGI supported server.

Template Support — Jinja2, Mako, and Cheetah templates allow a much cleaner and familiar coding environment.

Routing — Can easily route to dynamic URLs with support for requesting function calls.

Database Support — Bottle can support any Database API with the help of plugins. This can help in cutting development costs as well as hosting costs.

5. CherryPy

CherryPy is an open-source framework that has been a part of the market since 2002. This was initially developed to be a minimalistic approach to implementing the immense capabilities of the Python framework. Being a seasoned framework, it can support the older version of Python, enabling developers to use older libraries.


No APACHE Server Required — CherryPy can run an application without the need of a connected APACHE Server. This can reduce the need to connect this to a server during execution, reducing the overall loading and running time.

Android Support — CherryPy is one of the only IDEs available that has support to be run on Android. It can compile and debug a code on an Android device, making programming logic easier on the go.

Enhanced Features — It has various tools that may be advantageous to an average and advanced user. These features include features for security, caching, static content etc.


AIOHTTP is an Asynchronous HTTP Client Server for the Python framework. It supports Python above version 3.5 and makes use of the asyncio library. It has a number of features that help in making the processing of requests and results faster and more efficient.


Moreover, it has a built-in mechanism that allows redirection of queries through functions. Asyncio permits single thread processing control for requests, making it a vital library for developers to endorse application control.

Client/Server — AIOHTTP has support for both client and server-side, using the HTTP capabilities of packet transfer. This gives the programmer control over the client-side experience as well as code optimization.

Middleware Support — It aids mechanisms to deploy, connect or launch as a means to bridge from one part of the code application.

Pluggable Routing — This allows a more customized experience for the user and the speed at which the requests are processed.

7. CubicWeb

CubicWeb is a full stack Python framework that is open-source and available free of cost. Instead of conventional methods, CubicWeb uses a cubicle method that combines multiple aspects in one space and makes the application a powerhouse with all the aspects such as configuration, the database for the backend, a web server.


OWL and RDF Support — OWL (Web Ontology Language) and RDF (Resource Description Framework) make it a no-brainer for people requiring these features as these are rarely found in other Python frameworks.

RQL Embedded — Query Languages help easily create and manage the database.

Selection/View Mechanism — It offers XML and XHTML along with JSON support.

Data Model — CubicView is driven by an explicit data model.

8. Dash

Dash is a widespread Python framework usually used to create web applications. Dash is ideal for developers that mainly work on data management as it works with Flask to employ HTTP to process requests. It has support for Flask Plugins and can easily deliver cross-platform applications.


Error Tolerant — Dash has an in-built error handling mechanism within the deployment server.

Deployment & Scalability — The cross-platform nature of applications allows them to be easily scaled to the functionality and needs of a certain developer.

Plugin Support — Dash supports a number of plugins as it has to give functionality considering its low code nature.

Customizable — Dash server is low code as it does not require the developer to go into the basics of setting up a server.

Simple Interface — The straightforward interface makes it an easy choice for data scientists looking to set up a server.

9. Falcon

Falcon is an easy way to create APIs and code on the backend as it employs WSGI. This makes it one of the fastest ways to code within an application. Falcon is based on HTTP and REST architecture, making it an easier choice for seasoned programmers in this domain.


Eradicates Dependencies — It eradicates dependencies due to the application of REST and HTTP architecture.

Asyncio Support — This has support for asyncio that makes it a unique choice as it makes coding and deployment much more customized to the user.

Extensibility — Coders can extend or downsize their projects with this framework.

DRY Request Processing — DRY requests are a good coding practice that also helps in making the code more concise and to the point.

10. Giotto

Giotto is an MVC architecture-based framework that emphasizes a functional application base. It allows the programmer to work from the ground up, focusing more on functionalities and deploying alongside the frontend. This endorses a ‘Clean Style’ that minimizes code complexity in the long run. It also helps develop at a steady pace before the deployment stage is reached.


MVC Pattern — The Model View Controller mechanism is a popular way to separate coding dependencies and focus on one part of the application. This reduces complexities in the long run and makes a much less complicated code that can easily be updated and deployed in the future.

Template Support — Giotto has template support that allows the code to be coded faster and easily deployed. Moreover, it allows the coders to be in a more familiar python framework that endorses adaptability.

Deployment Options — WSGI, Gunicorn and APACHE are all options that Giotto supports.

Documentation — Giotto has vast online support along with officially available documentation.


This article explains every aspect of one of the top Python frameworks in detail. Enterprises, SMEs and even developers can get all information about the different types of Python frameworks, Python pros and cons, and the best frameworks of Python from this guide.

Hopefully, this post will make the selection of the Python framework easy for everyone.


What is Python?

Python is a widely-used and understandable object-oriented programming language that Guido van Rossum initially introduced in 1991.

What are the advantages of Python?

– Easy to learn
– Open-Source
– Very popular

What are the best Python frameworks?

– Django
– Web2Py
– Flask
– Bottle
– CherryPy
– CubicWeb
– Dash
– Falcon
– Giotto

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