Python is the most popular and high-level, general-purpose programming language that supports multiple programming models, including structured, object-oriented, and functional programming. App developers often prefer using Python frameworks for App Development.
Developers often use Pyjnius, a Python library that allows access to Java classes. It can either launch a new Java Virtual Machine (JVM) within the process or connect to an existing JVM, such as the one already running on Android.
According to recent research from Statista, more than 48% of developers use Python frameworks for mobile app development.
Python frameworks are collections of pre-built modules and packages that help developers handle common tasks efficiently.
They simplify application development by providing ready-made solutions, so developers don’t have to start from scratch.
These frameworks also take care of details like thread management, sockets, and protocols, saving time and effort.
Python is very popular due to its vast range of Python libraries for mobile app development, packages, and frameworks.
Several frameworks for mobile app development and web app development enable seamless, efficient, and swift application development. We’ve listed the best Python app frameworks in this blog.
In Python development, frameworks and libraries are two different concepts.
Python Framework | Python Library |
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Below are the core features that set Python apart from other languages.
Explore the 3 Types of Python Frameworks: Microframeworks, Full-Stack, and Asynchronous
A micro-framework is easy to use with basic capabilities or features required for web development and does not have added functionalities like form validation and data abstraction layers. These are lightweight and useful for building small applications.
Some popular examples of Micro frameworks are CherryPy, Bottle, Falcon, and Dash.
A full-stack framework is an end-to-end solution for web and app development with functionalities like template layouts, form validation, form generators, and so on.
It is the most convenient and popular Python framework since it offers features of back-end functions, front-end interfaces, and databases.
Some popular examples of Full-stack frameworks are Django, Pylons, CubicWeb, and Giotto
The asynchronous framework empowers developers to work on large amounts of concurrent connections, databases, web servers, connection libraries, high-performance networks, etc.
It has gained widespread popularity recently since the development of the Asyncio library.
Some examples of Asynchronous frameworks are Tornado, Growler, AIOHTTP, and Sanic.
Explore here a list of Top 10 Python App Frameworks to Use in 2025:
Django is a leading Python framework designed for building dynamic mobile and web applications with ease. It leverages a robust Object-Relational Mapping (ORM) system and follows the Model-View-Controller (MVC) pattern, ensuring clean, reusable, and easily maintainable code.
Whether you’re creating simple apps or scaling complex projects, Django’s powerful features make development faster and more efficient.
It has built-in tools like URL routing/parsing, authentication system, form validation, template engine, and caching to ensure a swift development process.
Django follows the DRY (Don’t Repeat Yourself) concept and focuses on rapid app development with a neat design.
This framework is the first choice of developers for any Python project due to its versatility, customization, scalability, deployment speed, simplicity, and compatibility with the latest Python versions.
According to a Stack Overflow survey, Django and Flask are the most popular Python software development frameworks.
Some examples popular examples of apps built with the Django framework are Instagram and Spotify.
Key Features of Django Framework:
Flask stands out as a top-rated, open-source Python microframework known for its simplicity and efficiency. The Flask framework comes packed with features like a built-in development server, an intuitive debugger, seamless HTTP request handling, file storage capabilities, and robust client-side session support.
It has a modular and adaptable design and added compatibility with Google App Engine.
Besides Django, Flask is another popular Python framework with the Werkzeug WSGI toolkit and Jinja2 template.
Flask operates under the BSD license, ensuring simplicity and freedom for developers.
Inspired by the popular Sinatra Ruby framework, Flask combines minimalism with powerful capabilities, making it a go-to choice for building scalable and efficient web applications.
Key Features of Flask Framework:
Web2Py is an open-source, full-stack, and scalable Python application framework compatible with most operating systems, both mobile-based and web-based.
It is a platform-independent framework that simplifies development through an IDE that has a code editor, debugger, and single-click deployment.
Web2Py deals with data efficiently and enables swift development with MVC design but lacks configuration files on the project level.
It has a critical feature, a ticketing system that auto-generates tickets in the event of issues and enables tracking of issues and status.
Key Features of Web2py Framework:
TurboGears is an open-source, full-stack, data-driven popular Python web app framework based on the ObjectDispatch paradigm.
It is meant to make it possible to write both small and concise applications in Minimal mode or complex applications in Full Stack mode.
TurboGears is useful for building both simple and complex apps with its features implemented as function decorators with multi-database support.
It offers high scalability and modularity with MochiKit JavaScript library integration and ToscaWidgets for seamless coordination of server deployment and front end.
Key aspects of TurboGears Framework:
Falcon is a reliable and secure back-end micro Python application framework used for developing highly-performing microservices, APIs, and large-scale application backends.
It is extensible and optimized with an effective code base that promotes building cleaner designs with HTTP and REST architecture.
Falcon provides effective and accurate responses for HTTP threats, vulnerabilities, and errors, unlike other Python back-end frameworks. Large firms like RackSpace, OpenStack, and LinkedIn use Falcon.
Falcon can handle most requests with similar hardware to its contemporaries and has total code coverage.
Key Features of Falcon Framework:
CherryPy is an object-oriented, open-source, Python micro framework for rapid development with a robust configuration system. It doesn’t require an Apache server and enables the use of technologies for Cetera templating and accessing data.
CherryPy is one of the oldest Python app development frameworks mainly for web development. Applications designed with CherryPy are self-contained and operate on multi-threaded web servers. It has built-in tools for sessions, coding, and caching.
Popular examples of CherryPy apps include Hulu and Juju.
Key features of CherryPy Framework:
It is an open-source asynchronous networking Python framework that provides URL handling, HTML support, python database application framework support, and other crucial features of every application.
Tornado is as popular as Django and Flask because of its high-performing tools and features except that it is a threaded framework instead of being WSGI-based.
It simplifies web server coding, handles thousands of open connections with concurrent users, and strongly emphasizes non-blocking I/O activities for solving C10k difficulties.
Key features of Tornado Framework:
AIOHTTP is a popular asynchronous client-side Python web development framework based on the Asyncio library. It depends on Python 3.5+ features like Async and Awaits.
AIOHTTP offers support for client and server WebSockets without the need for Callback Hell and includes request objects and routers for redirecting queries to functions.
Key Highlights of AIOHTTP Python Framework:
Also, there are two main cross-platform Python mobile app frameworks
Kivy is a popular open-source Python framework for mobile app development that offers rapid application development of cross-platform GUI apps.
With a graphics engine designed over OpenGL, Kivy can manage GPU-bound workloads when needed.
Kivy comes with a project toolkit that allows developers to port apps to Android and has a similar one for iOS. However, porting Python apps to iOS currently is possible with Python 2.7.
Features of Kivy Framework:
BeeWare is another Python framework for Python iOS development & mobile app development that enables developers to code apps in Python and cross-compilation for deployment on several mobile platforms and OS like Android, Linux GTK, iOS, and Windows.
The primary repository of BeeWare gets updated often with added commercial support including technical support, consulting, and training.
Features of BeeWare Framework:
Also Read: Ruby Vs Python: Which One to Embrace in 2024
The most essential factor before selecting the right framework for development is the project’s nature, size, and complexity.
For example, you can opt for a micro-framework for a smaller project while considering full-stack frameworks for larger projects.
Also, here are some examples of frameworks based on the project’s nature.
Other factors that you can consider before selecting the framework for Android app development for your project are
Below is the popular apps list using the Python framework:
1. Instagram: Instagram is one of the largest and most popular social media platforms, and Django is used to handle its huge user base and traffic. Its framework scalability and security features are crucial for Instagram’s backend.
2. Spotify: Spotify also uses the Django framework for data analysis and backend services. With the help of this framework recommendations, radio features, and various backend services using Python’s flexibility.
3. Dropbox: It is also a popular platform that uses Custom frameworks of Python for the backend. Its cloud storage service uses Python for server-side operations and desktop client software due to its simplicity and readability.
4. YouTube: Python-based services such as Flask are used for YouTube. This framework is used due to its flexibility for data processing, video delivery, and various APIs.
5. Quora: It is a question-and-answer platform with massive traffic. This platform also used Python and Django in its early development stages, particularly for its backend services.
Also Read: Top 14 Backend Frameworks in 2024 for Development
Python is best suited for creating dynamic applications integrated with CRUD operations and avoiding repetitive coding for activities like authentication and sessions.
It also provides an execution system when you’re building a separate UI with associated logic.
Python is also the best option when you have strict deadlines and time and resource constraints.
From full-stack and DevOps to AI/ML, data engineering, and data science, Python offers all-around Python App Development options.
Here are some reasons why Python is the king of programming languages:
Python has several frameworks and selecting the perfect fit can prove tough with several factors to note from budget and complexity to scalability, additional features, learning curve, and so on.
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FAQs
Choosing the right framework depends on your project’s specific requirements. Consider factors like project complexity, scalability needs, and your team’s expertise.
Django is excellent for robust, feature-rich applications, while Flask is lightweight and suitable for smaller projects. FastAPI is a good choice for building APIs with high performance, and Pyramid offers flexibility for diverse project structures.
Python boasts a rich ecosystem of libraries. Some popular ones include NumPy and Pandas for data science, requests for HTTP requests, Flask for web development, Django for full-stack web applications, Matplotlib for data visualization, and TensorFlow for machine learning.
While Python and Java serve different purposes, Python’s simplicity and versatility have led to increased adoption.
Python is often preferred for quick development and readability, but Java remains a strong choice for large-scale enterprise applications and performance-critical systems.
The choice between them depends on the specific requirements of your project.
Yes, Python is suitable for enterprise application development. Its simplicity, extensive libraries, and frameworks like Django make it a viable choice.
Python’s readability and ease of maintenance contribute to its growing popularity for developing scalable and robust enterprise applications.
The choice between Flask and Django depends on your project needs. Flask is lightweight and modular, suitable for small to medium-sized projects.
Django, on the other hand, is a full-stack framework with built-in features, making it ideal for larger, more complex applications. The decision should be based on project requirements, development speed, and scalability.
Both Flask and Django are widely used for mobile app development. Django is often chosen for its built-in features and conventions, making it suitable for the rapid development of full-stack applications.
The Flask framework is lightweight and modular and is preferred for smaller projects or when developers want more flexibility in choosing components. The choice depends on the scale and requirements of your app.
GUI framework is an open-source Python package that allows you to quickly build a demo or web application for your machine learning model, API, or any arbitrary Python function. Below are the top 10 GUI frameworks.
Yes, If you want to develop a project that involves web development, data analysis, AI, machine learning, or automation then you should hire a Python developer. Python has versatility, strong community support, and vast libraries that make it an excellent choice for scalable and efficient solutions by developers. A highly skilled Python development team can help you build robust applications, streamline workflows, and tackle complicated data-driven goals.
The cost to hire a Python developer can vary and it depends on several factors such as work experience, location, and the complexity of your project. See the below charges of a Python developer.
1. Work Experience Based Cost:
2. Location Based Cost:
3. Project Range:
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