Top 10 Most Popular Python Web Frameworks

Top 10 Most Popular Python Web Frameworks

Frameworks for the web are extremely useful tools. They encapsulate common components of web site and API development, allowing us to create richer, more stable apps with less effort.

In Python, we have access to a wide choice of web frameworks. Some have established themselves as favourites among enormous ecosystems and communities. Others excel in specific types of development or niche use cases. Others are up-and-comers who have compelling fresh reasons to be taken into account. Continue reading to learn more about your options and what will work best for you.

Choosing the Right Python Web Framework

Frameworks are created to address a variety of issues and make choices in order to better serve their target customers. We'd only need one framework if everyone shared the same goals! Some essential factors to consider while evaluating frameworks are:

  • What do you think the final size and complexity of what you're building?
  • Do you like to select your own libraries, configurations, and application structure, or do you prefer to have a more curated collection of alternatives pre-selected for you?
  • What role will performance play in your project?
  • How quickly would you like to be able to develop and deploy your app?
  • How long will your app be available, and how many developers will be working on it?

Consider the quality of available documentation for potential choices, as well as the size of the community surrounding a project - both of these factors affect the range of existing plugins or integrations you can use to speed up development, as well as your chances of getting help if you get stuck.

Keep these things in mind as you look into your possibilities - there are plenty! Consider whether a framework will be able to expand with you, depending on the duration of your project. Will it be a suitable fit for your current and future applications?

Top 10 Most Popular Python Web Frameworks

  1. Django
  2. Pyramid
  3. Flask
  4. Bottle
  5. CherryPy
  6. Web2Py
  7. TurboGears
  8. Masonite
  9. Falcon
  10. Sanic

Three types of Python; Frameworks.

Full-stack frameworks, microframeworks, and asynchronous frameworks are the three types of Python frameworks.

1. Full-stack frameworks:

Full-stack frameworks are designed to construct larger, more complex apps and come with a lot of pre-built functionality. A full-stack framework is an excellent choice if you want to develop something sophisticated rapidly or if you want appropriate defaults for how to put an application together without making all the decisions yourself. For interfacing with databases, templating your views, managing queues, background jobs, and other common parts of larger applications, full-stack frameworks typically offer you with sensible defaults.

2. Microframeworks:

Microframeworks are designed to provide a tiny core of functionality while allowing developers to choose which libraries and technologies to utilise for additional functionality. This has the advantage of giving you a lot more flexibility over the design of your app, which can lead to greater performance. They usually demand that the developer use their own database abstraction layer and other components. Microframeworks are a good fit for smaller, more focused applications, API development, and applications where performance is a priority.

3. Asynchronous frameworks:

Asynchronous frameworks are designed to provide great performance by supporting a large number of concurrent connections. While coupling most synchronous frameworks with async-capable servers like gevent can dramatically increase concurrency, natively asynchronous frameworks take it a step further with an entirely asynchronous stack. Asynchronous frameworks, on the whole, demand more discipline in programming style and have a smaller number of plugins. When you need to provide a specific capability at a high volume, asynchronous frameworks are ideal.

Top 10 Python Web Frameworks

1. Django:

Django is the most popular Python full-stack framework. When it comes to developing sophisticated web apps, it has a well-deserved reputation for being extremely productive. Its goal is speedy development with well-documented choices for typical circumstances, earning it the moniker "the web framework for perfectionists with deadlines."

Django has been available for over a decade (the first release was in 2006), and it is mature, comprehensive, well-documented, and has a sizable community. It's an opinionated framework, which means it makes a lot of choices for you. The advantages of this strategy include a faster start to development, "blessed" integrations that just work, and more headspace to focus on your project's unique requirements rather than which libraries to employ. Furthermore, Django projects have a consistent appearance, making it easier for developers to ramp up rapidly on new projects and for teams to coordinate their activities consistently.

Django comes with its own object-relational mapper (ORM) for interacting with databases, as well as a standard approach to authentication and authorisation, an automatically created admin interface (ideal for rapid prototyping), integrated caching, and more.

Django is suitable for both small and large projects, and it has been utilised by a number of high-traffic websites, including Instagram, Mozilla, and the Washington Post. Asynchronous functionalities are available in Django 3.0, with async views and middleware coming in version 3.1.

Django is ideally suited to constructing API-only backend apps, despite its traditional concentration on full-stack online applications. Django has mature integrations for quickly constructing REST and GraphQL APIs.

2. Pyramid:

Another well-known full-stack framework is Pyramid. It has been under development for as long as Django and is also a fairly mature choice, with roots in the Pylons project.

Pyramid, unlike Django, is less opinionated. It comes with routing, renderers, and command-line tools to get you started, but you can customise your database layer, templating system, and more with an extensive range of plugins.

Pyramid is a good middle ground if you can't decide between a full-stack framework and a microframework because of its intrinsic flexibility. Pyramid allows you to start with a simpler codebase than Django and scale up as needed. When you have particular requirements or are heavily interfacing with systems that Django may not effectively integrate with, this flexibility in library support might be critical (legacy databases are a common example).

Pyramid has a devoted fan base and an active community that love its grow-as-you-go flexibility. If you use Pyramid, plan to put in more effort up front to select components. However, if it allows you to permanently accelerate parts of development that are vital to you, this time can be well spent in the long term.

3. Flask:

Flask is a popular framework for building web apps and microservices. Flask is a Python framework that was inspired by the Ruby framework Sinatra. It concentrates on providing a core set of features (request handling, routing, WSGI compliance, templating) and has a modular design that allows you to add whatever else you need.

Flask includes a large number of extensions that let you integrate your own storage, database interaction, authentication and authorisation, security, and other features. It will take some time to integrate and set up your options, but apps can be constructed in stages and will not include libraries or code that your app will not utilise.

Flask programmes usually start off as a single file, but they can grow to be rather huge. Flask offers blueprints as a means to make larger applications more modular and maintainable, and there are common patterns for organising flask apps.

4. Bottle:

Bottle has a similar syntax to Flask (in fact, it was released a year before Flask), but it is delivered as a single file with no dependencies outside of the Python standard library. This allows it to run in a variety of environments, including those where installing libraries is problematic. It also implies that dependency management is simple, which is ideal for smaller projects.

The feature set is very comparable to Flask, although there is a much less active community. The number of plugins accessible is similarly limited. Furthermore, there are fewer tutorials available, making it more difficult to obtain code samples or seek assistance.

Bottle is primarily designed for apps with tiny codebases, and it lacks a clear mechanism for growing code organisation as projects become more complicated. The emphasis is on simplicity. Fewer dependencies make deployment a lot easier (simply put bottle.py in your project directory) and can help you move from a prototype to a production app faster.

5. CherryPy:


CherryPy is a popular microframework that has been around since 2002. CherryPy is object-oriented and strives on being as "pythonic" as possible, which sets it apart from Flask and Bottle. To put it another way, CherryPy strives to make developing a web app as comparable as feasible to writing standard Python code.

CherryPy's web server, which is included in the framework, is one of its strongest features. It's lightweight, production-ready, HTTP/1.1 compliant, thread-poolable, and compatible with any Python WSGI application. Because CherryPy's web server is so simple to set up and use, several developers utilise it to run other (non-CherryPy) WSGI apps.

CherryPy comes with a wealth of built-in features, such as session management, authentication, static content handlers, caching, profiling, and more. Plugins that tap into a diverse range of extension points are available.

CherryPy's community is substantially smaller than Flask's, which implies fewer plugins, tutorials, and other resources.

6. Web2Py:

web2py is a full-stack framework with its own web-based IDE, debugger, and deployment controls that focuses on simplicity of development. The MVC (Model View Controller) design was inspired by Ruby on Rails and Django.

The project began as a teaching tool, with a focus on standard functionality and appropriate defaults. It has a considerably lower learning curve than most frameworks and is really simple to set up and use. The documentation is excellent, and the software includes a scheduler, 2FA assistance, and a decent ticketing system that is automatically populated by production faults.

Web2py offers a smaller, but more friendly, community than Django and other frameworks. There are numerous lessons and materials accessible.

7. TurboGears:

TurboGears is billed as the "framework that scales with you," allowing you to start with a single file (like a microframework) and scale all the way up to a full-stack solution with command-line tools for management. In this way, it's comparable to Pyramid, but with greater freedom and customization at the cost of more upfront work to figure out how you want to structure your programme and which libraries you want to use.

The superb SQLAlchemy is TurboGears' default ORM. TurboGears' routing and default templating solutions have some intriguing peculiarities. Routing is done through an object hierarchy rather than mapping regular expressions to controllers, as is the case with most full-stack frameworks (mapping is available as an alternative option). Kajiki, an XSLT-inspired language, is TurboGears' preferred template system.

8. Masonite:

Masonite is a new (2017) framework that follows the same design philosophy as Django but seeks to address certain common issues. It has improved code scaffolding, routing middleware, and built-in email sending, S3 upload, and queuing capabilities.

Masonite's design is highly extensible, with outstanding integrated capabilities. The documentation is solid, and there is a help channel on Slack. It makes use of its own ORM, Orator, which is built on ActiveRecord.

Masonite's community is tiny but increasing as a newer framework. It's being actively enhanced, and there's a lot to enjoy about it. It's tougher to locate developers who are familiar with Masonite because of its lesser market share, but if the additional out-of-the-box capabilities are a suitable fit for your needs, it could speed up your development.

9. Falcon:

Falcon is a framework for creating REST APIs and microservices that focuses on performance. Falcon has a limited feature set due to its concentration on speed: routing, middleware, hooks, strong error/exception handling, and WSGI utilities to make unit testing easier.

Falcon abandons user-facing applications in favour of providing JSON via REST APIs. Falcon is dramatically quicker (20-75x!) than Django and Flask in benchmarks of relatively basic requests, because to its fine optimization and exclusive emphasis. Other great features of Falcon include idiomatic HTTP error responses (a typical stumbling block when building APIs) and simple exception handling. It runs on PyPy and supports Cython on CPython, two performance choices to consider.

Hug, a framework built on top of Falcon that includes version management, automatic documentation, and type-driven automatic validation, is a good option if you like the idea of Falcon but want a more full-featured solution.

10. Sanic:

Sanic is an asynchronous web framework and server that was originally released in 2016 and is "designed to go quickly."

While the majority of the full-stack and microframeworks on this list have been around for a decade or more, the arrival of asyncio in Python 3.5+ has ushered in a new era of extremely performant asynchronous frameworks. In this new generation, Sanic is one of the most well-known possibilities. Sanic has a syntax that is similar to Flask but adds end-to-end async functionality.

It has a lot of features including routing, middleware, streaming, WebSocket support, cookie management, route versioning, static file serving, and more. If you need to manage long-lived connections like WebSockets or need a high level of concurrency out of your API, Sanic is a logical choice.

You'll need to understand asynchronous programming in Python, including its caveats, complexity, and debugging issues, if you're using an asynchronous framework. It's worth debating if you truly need the performance of a fully async API, but if you need, Sanic is a good place to start.

Best Python Web Framework For Your Needs:

There is no one-size-fits-all framework for everyone, but here are some broad guidelines:

  • Use Django or Flask if you want to get started quickly with a well-known solution with readily available resources.
  • Explore Pyramid, Flask, or CherryPy if you prefer to start small and understand (or control) all of the components of your application.
  • Look into Falcon, or Sanic if you're developing an API or microservice that needs to be fast.
  • If you're a beginner programmer or new to web programming, web2py or Bottle are both simple and welcoming ways to get started.
  • Masonite is the frameworks to look into if you want to learn about fresh ideas and ways of doing things.
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