The world seems to be craving for better apps, which leads to an insane increase in software development and deployment projects. No wonder businesses, irrespective of different sizes and industry verticals, are striving hard to create different types of applications, websites as well as systems with the assistance of computer-understandable instructions.
Now, to establish seamless communication, you do require specific languages, which are often known as programming languages. A programming language is a basic set of instructions. Now this is done to conduct several tasks. So whether you are willing to develop a desktop application or operating system, or website, or mobile applications, choosing the right programming language is all it takes to make things work in the best possible manner.
What if I say that the ultimate core of technologies lies within the powerful realm of programming languages, no kidding! In layman's terms, these languages are unsung heroes, and it may also interest you to know their benefits extend far beyond mere functionalities. How is it possible that a simple click on the smartphone can transform into seamless action? Moreover, how is it possible for programmers to perform complex and complicated computations in just a span of a few milliseconds? The magic lies within the sea of programming languages and making the right choice out of the best ones.
Before making the choice, you need to understand the significance of these programming languages; they are basically tools considered by developers to write relevant instructions for computing devices to perform a specific set of tasks. They successfully act as an intermediary between human logic and machine understanding. Each programming language is of a kind and features a unique range of syntax, semantics, as well as use cases tailored to solve different problems and cater to various fields.
Programming languages are many, from Python to JavaScript, Java, C#, C++, PHP, Ruby, Swift, R, SQL, Kotlin, TypeScript, Go, Rust, Bash, Scala, Dart, Perl, VBA or Visual Basic for Applications; however, we no longer need to get into every programming languages since there is one such which you can never go wrong with, yes I am talking about none other than our very own Python. As the title suggests, the following post focuses on the best Python frameworks to pick.
Python has been considered as one of the leading programming languages available across the globe, due to a plethora of reasons, including great simplicity, versatility, and abundance of resources. Whether you are developing an API, dashboards, it is extremely important to choose the right framework.
The Python ecosystem is evolving, and so is every other programming language available in the market. So without any further delay, let us dive into the realm of Python frameworks.
What is a Python Framework?
A Python framework is basically a collection of different Python modules that offer a set of common functionality that can be used as an appropriate structure for developing apps, irrespective of their type and size. Frameworks usually assist in simplifying development procedures by offering a general guideline on how to conduct a proper software development project; here, the key aspect is that you no longer have to reinvent the wheel.
What if I say that Python is one of the most lucrative programming languages used by numerous tech giants, including Oracle, Amazon, Instagram, Google and is often considered as main coding language by almost every developer across the globe. Moreover, the development process is quite fueled up, all thanks to an extensive set of libraries and frameworks, which we will discuss below.
By using Python, it is possible to develop apps featuring any technology, be it machine learning, artificial intelligence, data analysis, web development, or more. Tech is pretty straightforward, featuring lots and lots of built-in tools, highly flexible and scalable. What else? Python is easy to get started with, ensures object-oriented programming, platform independence, enhanced performance, and, of course, higher security.
A Python framework is a huge set of tools and libraries that assist developers in creating unique, inquisitive web applications by offering pre-written code and structure. No wonder Python frameworks are often considered a starter kit that saves programmers from wasting time in writing lots and lots of repetitive code, and focus on the unique aspects of the project.
Types of Python Frameworks
Full-stack Framework
A full-stack framework is a set of tools that offer everything a developer requires to develop a web application, irrespective of how simple or complex it turns out to be. Full-stack framework, as the name implies, features everything from the frontend, where a system of templates and all the relevant information can be displayed to the end user.
Microframework
A microframework, as the name implies, is a minimalistic framework that turns out to be the most essential choice components to build not a whole but at least a miniature or some sort of application.
These kinds of frameworks are designed to be lightweight and can be extended in no time, no wonder if you are conducting small kinds of development projects, then this is it! Moreover, here you do get complete control over the code.
Asynchronous Frameworks
Another interesting type of framework to take into account is an asynchronous framework, which is meant to handle concurrency and parallelism. Here, it is possible for developers to create applications that are capable of performing a plethora of tasks at the same time.
Top Python Frameworks to take into consideration in 2025
Django
Django is one of the leading and widely used web frameworks considered within the Python ecosystem. The full-stack framework has remained rock solid for ages and shows no signs of slowing down at all. Django acts as a full-proof package if you are willing to develop a web application in no time.
Python was introduced back in 2005, mainly with the objective of developing a newsletter site in a Pythonic manner. In the present times, it turns out to be one of the most used Python libraries for conducting successful web development projects. Can you imagine the framework’s download is 8 million per month?
Still not convinced, what if I say Instagram, Discus, Pinterest, Bitbucket, and Chess.com choose Python for their respective projects? The framework follows model-view-template (MVT) architecture and features a plethora of aspects such as templating, database management, admin panel, signals, and views. However, to make the most of Django, it is advisable to have a strong understanding of Python Object-oriented programming.
Its benefits include:
- Highly secure framework
- Proprietary template language that dynamically displays HTML
- Object-relational-mapper (ORM), lay out the database with Python classes
- Database querying with Python API
- Great CLI tools
- Wide variety of extensions
Flask
The next most popular Python framework to take into account is Flask; this one is mainly considered to take care of projects involving small apps, APIs, and data science dashboards.
If you are looking for a lightweight and unopinionated framework where you have full control over app architecture. Flask is a highly classified framework often considered a microframework since it no longer enforces any specific project structure or features built-in tools like ORM or form validation.
What’s more to ask for? Here, you get a simple core where it is possible to add only what you need. Flask is mainly built on top of Werkzeug (a WSGI utility library) and Jinja2 (a templating engine). It’s known for its clean syntax, intuitive routing, and flexibility.
The ultimate success lies in pairing Flask with extensions like SQLAlchemy, Flask-Login, or Flask-RESTful.
Its benefits:
- Lightweight and flexible
- Gentle learning curve
- Beginner-friendly
- Highly extensible
- Modular architecture
- Readable codebase
- Ideal for microservices
Pyramid
Are you looking for an open-source web development framework to develop web apps using Python? Try considering Pyramid. Will you believe me if I say this is one of the most valued frameworks and offers extensive scalability, flexibility, and testability? Pyramid is one such kind of Python framework that is platform independent and easy to extend, works wonders for both small and large applications, minimalistic approach for development, provides great support for HTML form generation and validation, and flexible templating and routing.
CherryPy
The next kind of Python framework is CherryPy, which assists developers in creating web apps in no time. This is one of the oldest frameworks of Python, with the first version released in 2002. The framework is extremely fast, reliable and highly secure. CherryPy is vouched for by Netflix, Hulu, and Indigo Domotics.
So if you are looking for a Python framework that is extremely fast and simple to use, suitable for developing small and large web apps, production-ready with an in-built WSGI server, this is it! Your search needs to end right here.
So if you want to create portable database-driven web applications, this is it! Here you will get numerous built-in tools for static content, encoding, and caching. Not just development but high support for testing and coverage, Multi-threaded support for handling simultaneous HTTP sessions, and high performance and reliable security features.
Streamlit
Have you ever thought of transforming mere data scripts into interactive web applications? Streamlit is the best choice to consider here. Due to its uncanny ability to convert data scripts into an interactive bunch of apps, the following Python framework is pretty much favourable among data scientists.
If your requirement lies among prototyping, developing dashboards, and showcasing relevant data insights, then this is what your search needs to end. However, it isn’t advisable for apps requiring a complicated user interface or something that keeps interacting time and again.
Its benefits:
- Quick prototyping - Here, it is possible to convert Python scripts into relevant web apps with minimal effort.
- Data visualisation - Streamlit features a wide range of built-in components, so whether it is the dashboard or a task in accordance with common data visualisation, things are well taken care of.
- Another benefit offered by Streamlit turns out to be ease of use. Streamlit’s declarative syntax enables developers to keep their core attention on functionality instead of wasting time on boilerplate code.
- What else, here, you will find a robust app gallery featuring lots of examples and templates, especially on GitHub.
Bottle
No matter how funny this Python framework sounds, Bottle is one of the most prominent frameworks to take into account. The key consideration is if you are willing to develop lightweight apps; then this is it; the Python framework can do the magic. Just a short reminder, the app will be developed, featuring no dependencies other than the ones from the standard library.
Built on top of the WSGI (Web Server Gateway Interface) standard, this framework is easy to get started with, features a rare in-built template system, lower memory usage, HTTP, forms, routing support and is highly recommended for developing small web apps as well as APIs.
Its benefits:
- Here, you get the best of both worlds, routing and abstraction
- The best plugin support for numerous databases
- Here, you get a single-file module with no dependencies, especially outside the Python standard library.
Gradio
Have you considered amazing machine learning apps? This is what Gradio does. The open-source Python library allows developers to create user-friendly, web-based interfaces for different kinds of machine learning modules. Gradio is highly considered for prototyping, sharing relevant ML models with the least setup. Some of the most common yet popular libraries, such as TensorFlow, PyTorch, and Hugging Face, shouldn’t be ignored at any rate.
Wondering why Gradio is considered a top choice for most ML practitioners?
- It is possible to deploy Gradio-based apps pretty quickly.
- The Python framework makes sure it integrates well with some of the most popular machine learning libraries, such as TensorFlow, PyTorch, and Hugging Face.
As you now understand, each one of the Python frameworks is of a kind, so it’s high time to elevate your coding projects from simply good to great.
Conclusion
So that’s all for now! I hope you did find the following post worth taking into account. As mentioned, every web development framework is one of a kind; the key is to make the right choice. For example, choose a framework that makes your job as a developer much easier and more efficient to develop a relevant range of applications.
Moreover, when you end up choosing a well-designed framework, it means the code is well-organised and maintainable, so here you get a better understanding of what’s happening around and how to modify the source code if needed in the future.
It may also interest you to know that choosing the right framework can definitely increase productivity. Here, you can get acquainted with all pre-built components, tools that are relevant to the current industry standards. By using these frameworks, it is possible for developers to focus core aspects of their applications rather than spending time on basic tasks.
I hope you did find the following post worth taking into account. In case you have any further doubts or queries, feel free to mention them in the comment section below.
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