The fundamental building blocks needed to create a reliable Python software application are provided by Python frameworks. There are Python frameworks that are better and worse suited for the software project your team is working on.
According to sources, Python has become more and more popular over the last ten or so years; in 2021, 15% of Stack Overflow questions had the tag “python” attached to them.
Consequently, the corresponding Python technologies also see a rise in popularity. Questions such as “What is a Python framework?” are frequently asked. or comparisons of Python frameworks side by side.
You will discover various Python frameworks that you can utilize for your software development project today. What is a Python framework, though, first? Stay tuned to find out!
- What Is a Python Framework?
- Where Is the Use of Python Most Recommended?
- Python Framework vs. Python Library
- The 3 Main Types of Python Frameworks
- 25 Python Frameworks To Use In 2023
- How to Pick the Greatest Python Framework for Your Needs
What Is a Python Framework?
Like any framework, a Python framework provides a base or substructure for you to build upon in your software development project. To be clear, software frameworks save your developers time by rendering the generic functionality of the program you’re trying to create.
Python programming language will be used by Python frameworks in particular to automate common application building steps. Python developers will thus save time on development, and your company will gain from this overall.
Where Is the Use of Python Most Recommended?
Python is an object-oriented, general-purpose, interpreted programming language. When creating Python, the language’s designers gave code readability top priority, which led to the language’s high productivity.
One of the main ways that Python embodies the founding principle of readability is in the way that it uses the English language in an intuitive way and has well-organized code blocks.
One of Python’s greatest features is the large amount of white space available to developers for dividing up code blocks. This strategy promotes readable code and makes the program seem friendlier than in other programming languages that employ special characters like brackets.
Because of its extensive standard library, Python, which Guido van Rossum released in 1991, is now referred to as a “batteries included” language. Python libraries provide pluggable code segments that can be incorporated into your program through a straightforward function call.
The first thing that comes with the language out of the box is the Python Standard Library. With high-level data structures like dictionaries and lists, turtle graphics, and more, this library is remarkably large.
Python is an efficient programming language for both front-end and back-end development. Additionally, Python is used by developers to create a wide range of software, including machine learning, data science, and web development.
Python’s simplicity and the availability of both standard and add-on libraries contribute significantly to its versatility as a programming language.
Python Framework vs. Python Library
There are individuals who are curious about the distinction between Python libraries and frameworks. Their similarities stop when it comes to specificity and complexity, even though they both provide developers with operational functionalities.
For instance, there isn’t much complexity and Python libraries are brimming with hundreds of helpful functions for particular uses. In the end, Python libraries are a small part of a larger puzzle that carry out a straightforward task.
Even more specificity is allowed because frameworks operate on a particular understanding of what your application might look like. The key is to keep things complex. A Python framework will therefore describe the puzzle’s internal pieces; the more intricate the framework, the more detailed the internals will be.
The 3 Main Types of Python Frameworks
Python frameworks are available in a variety of forms. Your choice of framework may depend on a number of factors, including expertise, scalability, and business-specific objectives.
Whole Stack Architecture
Full-stack frameworks are appropriate for front-end and back-end programming. Front-end tools for graphic user interface (UI) design and back-end services like databases, security protocols, and business logic are the components of web development.
All the tools required to support full-stack development will be included in a full-stack Python framework. The second most popular Python framework is called Django, and it’s a full-stack framework.
Microframeworks are lightweight by nature. It is the antithesis of a full stack framework in certain respects. According to Python’s official Flask documentation, the framework’s “core [is] simple, but extensible”—as indicated by the “micro” in microframework.
A microframework does not naturally have the essential elements of a full stack framework, such as a database management system and specific security features.
Although this may sound negative, it actually promotes flexibility for developers who wish to have more control over their software by allowing them to include third-party libraries only when absolutely required.
Framework in Asynchrony
Event-driven programs operate asynchronously. Asynchronous code is non-blocking and doesn’t wait for one event to finish before starting another, in contrast to line-by-line operational handling where one function runs after the other.
Asynchronous frameworks enable a multitude of high-performance concurrent connections by operating on an async-capable server thanks to this parallel programming technique.
25 Python Frameworks To Use In 2023
There are hundreds and hundreds of Python frameworks available. However, since you value your time, these are the top 25 Python frameworks.
The definition of a full-stack framework is met by CubicWeb. It’s a semantic framework as well. Semantic technologies use conceptual and ontological understanding to interpret data.
CubicWeb makes use of cubes, even though the standard model-view-controller (MVC) architecture is more frequently used for creating user interfaces. Cubes combine to form an instance that has a web server, a database, and configuration files.
AIOHTTP is an HTTP client/server for asyncio and an asynchronous framework. The essence of AIOHTTP is that it lets your developers create asynchronous clients and servers for your web application, even though some of these terms might sound unfamiliar.
Dash is a microframework that works well for creating Python apps that are analysis-focused. Businesses with an interest in data science and machine learning often choose this framework.
Another microframework is called Bottle. Its original design called for creating application programming interfaces (APIs) and was quick and easy to use.
Bottle highlights its lightweight build, similar to the best microframeworks, by implementing everything into a single source file and depending on minimal dependencies. Bottle has several other useful features, such as routing, templates, utilities, and an integrated HTTP server.
Compared to other frameworks, Bottle operates more like hardware. If, however, you believe that your program may contain more than 500 lines of code, you should choose a more sophisticated framework.
CherryPy describes itself as a framework for minimalism. With CherryPy, you can use object-oriented programming concepts to create a whole application. Development is therefore simpler and quicker.
Falcon is one more framework that is focused on APIs. Falcon is a microframework designed to be simple and quick to develop applications for. Falcon allows developers to create RESTful APIs, microservices, and app backends without having to worry about extraneous abstractions.
One of the more well-known Python frameworks is Django. Django is a full stack framework that includes all the necessary tools to create intricate and sizable web applications.
Django and Flask have historically been rivals. The two most popular Python frameworks are Django and Flask. They are, however, very dissimilar.
In contrast to Django, Flask is a microframework and does not include any tools or features that are necessary for its packaging but can be fulfilled by a third-party library.
Giotto is a Python framework that emphasizes the division of responsibilities that the traditional MVC architecture fosters. Giotto’s generic implementation of models, views, and numerous pluggable controllers makes the framework an excellent tool for streamlining and expediting development.
Growler is a microframework as well as an asynchronous framework. The framework processes HTTP requests by using middleware and the asynchronous Python library, asyncio.
Using the best elements of Perl, Python, and Ruby, Pylons creates a full stack framework with an emphasis on quick development. Pylons is lightweight and flexible, much like Flask.
One of the best full stack Python frameworks is Pyramid. Pyramid’s greatest strength is scalability; both small and large-scale applications can rely on it to grow.
Pyramid describes itself as a “Goldilocks Solution: not too small, not too big, just right” on its official website.
While Sanic and Flask are similar, Sanic is faster due to its asynchronicity. Sanic can process tens of thousands of requests per second, according to benchmark tests.
Give a hug
Hug is a microframework used in API development. Hug, known as the fastest Python 3 framework, is laying the groundwork for future technologies.
A More Direct Approach
Morepath, a model-driven microframework that is expressive and offers routing to its models, has earned the moniker “Super Powered Python Web Framework.”
Models represent data, and views represent th user interface, just like in MVC patterns. An application in Morepath is made up of models that are directed to a URL path. Views are how content is expressed on the web.
Tornado is an asynchronous Python framework that was first created to support FriendFeed, a social media company that Facebook later acquired. Tornado can support thousands of concurrent users at once and has non-blocking network I/O.
TurboGears is versatile enough to work as a microframework or a full stack framework. The framework extends an object-relational mapper (ORM) and templating engine, and it is data-driven and user-friendly.
Although Web2py was initially designed as a teaching tool, its full stack framework functionality allows for much more functionality. For example, web2py is cross-platform, requires no installation or configuration, and includes an integrated development environment (IDE).
In some ways, FastAPI is self-explanatory. This is a cutting-edge Python framework with features to build APIs more quickly. It owes a lot of its design to Flask.
Grok promotes an agile development environment by utilizing key programming concepts like “convention over configuration” (CoC) and “don’t repeat yourself.”
DRY standardizes abstractions in an effort to lessen repetition. Similarly, by providing developers with a traditional foundation from which to build, Constraint of Conformance (CoC) seeks to alleviate the burdensome decision-making process for developers and free up configuration time.
Dream in Blue
The Python framework BlueBream is best suited for developing medium-sized and large-scale applications. BlueBream is more than just a framework; it’s also a server and library. Its integrated security protocols, transactional object database, and component architecture are some of its best features.
Quixote is a Python framework that is easy to use and adaptable for creating web applications. Quixote should be a great fit for anyone with a solid foundation of Python knowledge.
24.Happy and content
Weppy is a full stack Python framework that prioritizes simplicity. It is stylized as the lowercase word “weppy.” Because of its sophisticated syntax, developers are encouraged to concentrate on the product they are creating rather than stumbling over the framework.
Zope is a web framework and application server. The creation of content management systems (CMS) is its main application.
How to Pick the Greatest Python Framework for Your Needs
The most effective way to expedite and optimize development is to use a Python framework. Although using Python frameworks is not required, it would be foolish to pass up the chance to improve your development process whenever it is feasible.
The first step in determining which Python framework is best for your software project is to assess the various kinds of frameworks available. Three main types of frameworks are distinguishable: asynchronous frameworks, microframeworks, and full stack frameworks.
Asynchronous frameworks increase Python’s concurrency; microframeworks are compact but adaptable; and full stack frameworks are intricate but scalable.
After determining which category of Python frameworks best suits your needs, you can focus on the frameworks themselves to reduce the number of options available. There are twenty-five distinct frameworks with varying functionalities listed above.
Scalability, speed, the proficiency of your developers in implementing framework-specific skills, and several other factors that might benefit your company should all be taken into account when selecting a Python framework.
It’s probably not worth your time to go through every Python framework. However, you can now more accurately identify what you need thanks to what you’ve learned here.
The landscape of Python development in 2024 is enriched by a diverse array of frameworks. By familiarizing yourself with the 25 must-know frameworks highlighted in our guide, you can confidently navigate the Python ecosystem and enhance your coding expertise across various domains.
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