Picking up the right technology stack for your project is critical and requires in-depth analysis. And if you are here, you might consider Python for your next project. Today, Disney, Google, and NASA are using Python scripting for their tasks. RiseApps, a python development company, highlights four benefits of using Python for your project. These are the high productivity, compatibility, extensive support library, and fantastic community of programmers.
However, if you choose the programming language, it will never be enough. Another vital aspect is choosing the right framework. And there is no fit-all solution in that case since all companies have different requirements.
There is a wide range of frameworks, and it is a great idea to learn about them in advance. Here are six of the most demanded Python frameworks you can choose from.
Table of Contents
Django
Django was released in 2006, and now it is the most popular Python framework. It is an excellent fit for the creation of highly complex web applications.
Django has a broad range of features and allows developing applications easily. Additionally, it provides a set of great features, like scaling up, authentication, and many others. This full-stack framework is used for such projects as Instagram, Dropbox, and Youtube. If you are ready to get started with this framework, you can hire Django developers at RiseApps.
Flask
Flask Python framework is the right choice for applications and microservices. It is easy-to-use and has a broad database of extensions. The primary benefits of Flask are databases, storage, authentication. There are even more, and we suggest you check them out if you decide to use Flask for your next project.
By the way, Flask was used for building Pinterest and LinkedIn.
Web2PY
If you are looking for a manageable framework, Web2PY is the best choice. It is easy to install and get started. It has an excellent set of features no other framework offers, including debugging and detailed documentation. Of course, if you compare it with Django, it has a smaller community, but it is widely chosen because of its ease of use.
NoobMusic, StarMaker, LinkFindr are among the projects built with Web2PY.
FastAPI
FastAPI framework was released in 2019, and it is an excellent choice for building such features as GraphQL, REST, and APIs. Also, it can handle such things as streaming, WebSockets, Synchronous, and Asynchronous requests.
FastAPI framework provides support for authentication, data validation, and documentation. It has a lot of impressive features and is famous for its high flexibility and ease of development. Its cutting edge features of bug reduction and customization make this framework one of the best choices today.
Sanic
If you are looking for an asynchronous Python framework Sanic is the one you need. It is a relatively new framework and was released in 2016. It is an excellent choice for new generation projects and applications. The Sanic’s syntax is similar to Flask. Yet, it offers extra perks for modern-day projects.
Among Sanic beneficial features are cookie management, route versioning, streaming, static file serving, and some others. It has a perfect feature set for debugging.
Sanic is an excellent framework for new-generation applications. Sanic framework is used in such projects as AdCombo, Bonton, and Herren.
Tornado
Tornado is not a new framework but still in-demand since it offers excellent customization options for apps. Some other features are making it unique today. These are cookie management, routing, various security features, and some others.
However, the Tornado framework is not as full-fledged as Django. Yet, it still has a lot of built-in features making it popular for specific tasks and projects. Quora and Facebook are using Tornado for their tasks.
It is essential to note that there are even more Python frameworks available. However, they are used in narrower niches. The choice of the right framework for a project can be tricky. If you don’t have much technical background, it is better to rely on professionals. That’s why contacting the right python development team before selecting the tech stack is mandatory.
