Because it is one of the leading programming languages, there is no scarcity of frameworks for Python. Different frameworks have their own set of advantages and issues. Hence, the selection needs to be made on the basis of project requirements and developer preference.
There are primarily three types of Python frameworks, namely full-stack, micro-framework, and asynchronous. Before moving onto discussing the best Python frameworks to go for in 2019, let’s first take a brief look into the various types of Python frameworks.
Types of Python Frameworks
1. Full-Stack Framework
Such frameworks are a one-stop-solution for all developer requirements. Form generators, form validation, and template layouts are usually available with a typical full-stack framework.
These are lightweight frameworks that don’t offer additional functionalities and features, such as database abstraction layer, form validation, and specific tools and libraries. Developers using a microframework need to add a lot of code and additional requirements manually.
3. Asynchronous Framework
Gaining popularity recently, any asynchronous framework is a microframework that allows for handling a large set of concurrent connections. Typically, an asynchronous framework built for Python uses the programming language’s asyncio library.
Best Python Frameworks for 2019
Type – Asynchronous framework AIOHTTP is a Python framework that relies heavily on Python 3.5+ features, such as async & awaits. The Python framework makes use of Python’s asyncio library, and is hence an asynchronous framework. In addition to being a server web framework, AIOHTTP can also serve as a client framework. It provides a request object and router to enable the redirection of queries to functions developed to handle the same.
- Allows effectively building the views
- Middlewares support
- Pluggable routing
- Supports both Client WebSockets and Server WebSockets without the Callback Hell
Type – Microframework Bottle creates a single source file for every application developed using it. The microframework for Python was originally developed for building APIs. Other than the Python Standard Library, Bottle has no dependencies required for crafting small web applications. One of the most important advantages of using Bottle is that it allows developers to work closer to the hardware. In addition to building simplistic personal-use apps, Bottle is an apt fit for learning the organization of web frameworks and prototyping.
- Adapter support for 3rd-party template engines and WSGI/HTTP servers
- Allows simple access from cookies, data, file uploads, and other HTTP-related metadata
- Built-in HTTP server
- Plugin support for different databases
- Provides request-dispatching routes having URL-parameter support
Type – Microframework CherryPy is a popular open-source, object-oriented Python framework that follows a minimalistic approach. The micro-framework is one of the oldest Python frameworks, debuting in the June of 2002.
Any CherryPy-powered web application is a standalone Python application with its own embedded multi-threaded web server and runs on any OS with support for Python. Such an app can be deployed anywhere an ordinary Python app is able to run.
There is no need for an Apache server for running apps developed using CherryPy. The micro-framework allows the developer(s) to make use of any type of technology for data access, templating, et cetera.
- A number of out-of-the-box tools for authentication, caching, encoding, sessions, static content, and much more
- A flexible built-in plugin system
- HTTP/1.1-compliant WSGI thread-pooled web server
- Inbuilt support for coverage, profiling, and testing
- Offers simplicity for running multiple HTTP servers simultaneously
- Powerful configuration system
- Runs on Android
Type – Full-stack framework Developed and curated by Logilab, CubicWeb is a free-to-use, semantic, open-source, Python-based web framework. Based on the data model, CubicWeb requires to have the same defined in order to develop a functional application.
Unlike other popular Python frameworks that use separate views and models, CubicWeb makes use of cube. Multiple cubes are then joined together for creating an instance with the help of a database, a web server, and some configuration files.
- OWL (Web Ontology Language) and RDF (Resource Description Framework) support
- Reusable components
- Security workflows
- Simplifies data-related queries with RQL (Relational Query Language) embedding
- Support for multiple databases
Type – Microframework Dash is an open-source Python-based framework for building analytical web applications. It is an ideal Python framework for data scientists that aren’t much into the mechanics of web development.
Applications designed with Dash are web servers that run Flask and communicate with JSON packets via HTTP requests. Their frontend renders components using ReactJS. Flask plugins can be used for extending the capabilities of Dash.
Because Dash apps are rendered in the web browser and can be deployed to servers, they are cross-platform and mobile-ready. Dash developers are provided access to the underlying Flask instance as well as all of its configurable properties.
- Dash apps demand very little boilerplate code for getting started
- Error handling (Dash Deployment Server)
- High-degree of customization
- LDAP integration (Dash Deployment Server)
- Plugin support
- Simple interface for tying UI controls, including dropdowns, graphs, and sliders
- URL routing (Dash Deployment Server)
Type – Full-stack framework Django is one of the most beloved web development frameworks for developing Python applications. In fact, it ended up being one of the top 10 web development frameworks of 2019. Django framework follows the DRY (Don’t Repeat Yourself) principle.
Unlike others, the free-to-use and open-source full-stack Python framework include a grand number of built-in features rather than offering them as individual libraries. Django makes use of its ORM for mapping objects to database tables.
This results in allowing the code to work across different databases as well as making it easier to migrate from one database to the other. Though Django has inherent support for MySQL, PostgreSQL, SQLite, and Oracle Database, it can support other databases via third-party drivers.
- A plethora of ready-to-use libraries
- Authentication support
- Database schema migrations
- Object-relational mapper (ORM)
- Support for web servers
- Template engine
- URL routing
Check out the advantages and disadvantages of using the Django framework.
Type – Microframework Aimed at rapidly building web APIs, Falcon is another widely used Python framework. Unlike other Python frameworks that require loading a lot of dependencies for building HTTP APIs, Falcon allows developers to build a cleaner design that enables HTTP and REST architectures.
As per the benchmark test conducted by Sanic, Falcon is able to handle most requests with the same hardware than all its contemporaries. The Python framework aims to have 100% code coverage. Falcon is used by big players like LinkedIn, OpenStack, and RackSpace.
- An extensible, highly-optimized code base
- DRY request processing through middleware components and hooks
- Ease of access for headers and bodies via request and response classes
- Extra speed boost with Cython support
- Idiomatic HTTP error responses
- REST-inspired resource classes and URI templates offer intuitive routing
- Unit testing via WSGI helpers and mocks
- Upfront exception handling
Type – Microframework Available under the BSD license, Flask is another popular Python framework. Inspired by the Sinatra Ruby framework, the microframework requires Jinja2 template and Werkzeug WSGI toolkit. Thanks to its lightweight and modular design, Flask is readily adaptable.
Flask allows the developers to build a solid web application foundation from where it is possible to use any kind of extensions required. The micro-framework is compatible with Google App Engine.
- Built-in fast debugger
- HTTP request handling
- Inbuilt development server
- Jinja2 templating
- RESTful request dispatching
- Support for plugging in any ORM
- Supports secure cookies to establish client-side sessions
- Unit testing support
- WSGI 1.0 compliance
Type – Full-stack framework Based on the Model View Controller pattern, Giotto is an application framework for Python. In order to allow web designers, web developers, and system admins to work independently, Giotto separates Model, View, and Controller elements in order.
Giotto includes controller modules that enable users to create apps on top of the web, IRC (Internet Relay Chat), and command line.
- Automatic URL routing
- Database persistence with SQLAlchemy
- Extremely succinct code
- Functional CRUD patterns
- Generic models and views
- Inbuilt cache with support for Memcache and Redis (Available API for extending support for other engines)
- Jinja2 for HTML templates (API available for supporting other template engines)
- Multiple pluggable controllers
- RESTful interface with normal “browser POST” CRUD site
Type – Asynchronous framework Inspired by the NodeJS and the Express/Connect frameworks, Growler is a micro web framework written atop the Python’s asyncio library.
Unlike other conventional Python frameworks, requests in Growler aren’t handled in the framework but by passing through middleware technology.
A top choice among Python frameworks for easily and quickly implementing complex applications, Growler was originally developed by its author to simply learn how to use asyncio library at its lowest levels.
- Easy to see program flow due to lack of required callbacks and proper try/except blocks
- Support for a multitude of open-source packages
- Use decorators for writing clean, reusable code
- Ziapp module allows zipping an entire application into a single executable file
Type – Microframework The Hug is designed to allow Python developers to develop an API once and then use it anywhere they wish. The Python framework simplifies API development by means of offering multiple interfaces. It is labeled as the fastest web framework for Python 3.
Whether you are doing local development or over HTTP or via the CLI, Hug lets you complete application development quickly and easily. In order to take performance to the next level, Hug consumes resources only when required and uses Cython for compilation.
- Annotation-powered validation
- Follows write once, use anywhere philosophy
- Inbuilt version management
- Supports automatic documentation
Type – Microframework Labeled as the “Super Powered Python Web Framework,” MorePath ensures minimal setup footprint. It is designed specifically for getting most of the typical use cases up and running ASAP, including the common Python data structures being induced into RESTful Web Services.
The microframework, MorePath, is a very flexible model-driven web framework. A unique feature available to the Python framework is that it automatically turns the paths defined in the framework into links in creating apps with the cleanest URLs.
- All views are generic. Reuse views in views
- Comes with all the necessary tools to develop RESTful web services
- Creating generic user interfaces is as simple as subclassing
- Extensible with a simple, coherent, and universal extension and override mechanism
- Flexible, simple, and powerful permissions
Type – Microframework Pycnic is an object-oriented microframework believed to be the fastest for building JSON-based APIs. The small, standalone, and optimized for JSON-based APIs framework is able to hold its ground well among big players. Because Pycnic creates just the Web APIs, it has a minimal footprint and therefore, it is fast.
- Built-in error handling
- Capable of handling JSON-based requests
- Handles routing
- Support for cookies
Type – Full-stack framework Pylons Framework is an open-source Python-based framework that focuses on the rapid development of applications. The framework is designed by incorporating some of the best elements and properties of languages including Perl, Python, and Ruby.
Although available in maintenance mode, several developers still use the Pylons framework due to its ability to offer a highly flexible structure for web development. In order to promote reusability, the full-stack framework makes extensive use of WSGI (Web Server Gateway Interface).
- HTML form validation and generation
- Text-based templating
- URL dispatch
- URL mapping based on Routes configuration via WebHelpers
Type – Full-stack framework The Pyramid is another leading Python framework. The primary goal of the open-source Python-based web development framework is to achieve as much as with minimalistic complexity.
The most desirable aspect of the Pyramid is the ability to work equally well with small as well as full-scale applications. Moreover, there is a multitude of resources available to extend its abilities as per the requirements call for.
- Flexible authentication and authorization
- Function decorators
- Single-file applications
- Templating and asset specifications
- URL generation
Type – Asynchronous framework Built on top of the uvloop, Sanic is a simple and open-source Python framework developed especially for offering fast HTTP responses via asynchronous request handling. Hence, it is an asynchronous framework for Python.
Sanic supports asynchronous request handlers, making it compatible with Python 3.5’s async/await functions. It results in enhancing speed as well as offering non-blocking capabilities.
During a benchmark test with one process and 100 connections, Sanic was able to handle as much as 33,342 requests in a single second.
- Able to read and write cookies
- Allows different types of logging, such as access log and error log
- Class-based views
- Handlers with easy to apply decorators support
- Plugin support
- Supports blueprints for sub-routing within an application
- The configuration object can be modified either by using dot-notation or like a dictionary
Type – Asynchronous framework The Tornado is an open-source Python framework and an asynchronous networking library. In addition to solving the C10k issue (which simply means to handle 10k connections at any given time), the asynchronous framework uses a non-blocking network I/O.
The Python framework was originally developed for a company called FriendFeed, which was acquired by Facebook in 2009. The Tornado is an ideal tool for building apps asking for high performance and several thousand concurrent users.
- Allows implementation of 3rd-party authentication and authorization schemes
- Offers high-quality output
- Real-time services
- Supports translation and localization
- User authentication support
- Web templating
Type – Full-stack TurboGears is a data-driven, open-source, full-stack web application framework for Python. The framework allows developers to rapidly develop extensible data-driven web apps.
In addition to supporting a flexible and powerful ORM, TurboGears come with intelligible templating. The full-stack framework makes use of components such as Genshi, Repoze, SQLAlchemy, and WebOb to easily and quickly develop apps requiring database connectivity.
- All features are implemented as function decorators
- Available command-line tools
- Multi-database support
- MVC-style architecture
- PasteScript templates
- ToscaWidgets for simplifying coordination of frontend design and server deployment
- Uses Pylons as a web server
- Validation support with FormEncode
Type – Full-stack framework For Python developers looking for a scalable full-stack framework, Web2Py might be the answer. The open-source Python framework comes with its own web-based IDE, which includes a code editor, debugger, and one-click deployment.
Though Web2Py allow users to create dynamic web content in Python, it doesn’t provide support for Python 3. The ticketing system is one of the most important features of the Python framework. The system issues a ticket to the user whenever an error occurs.
- Ability to run on any web hosting platform that provides support for either Python or Java and Python
- Backward compatibility
- Built-in data security for preventing several common vulnerabilities, including cross-site scripting, injection flaws, and malicious file execution
- Devoid of installation and configuration requirements
- Follows MVC-pattern
- Provides support for internationalization
- Readability of multiple protocols
- Role-based access control
Summary In order to appreciate all (or most) of the above mentioned Python frameworks, you need to have at least intermediate competency in the high-level, interpreted programming language. If not, then here are the top 10 best Python books to step up your game.
Which one(s) of the Python frameworks should or shouldn’t have made it to the list? Which is your favorite Python framework? Let us know via comments.