While Python is one of the easiest languages to learn and use, it can be hard to select the right framework or tooling from the many available choices available. Many frameworks have overlapping functionality and offer similar functionality, which can lead to confusion about which one you should use for your next project. In this guide, we’ll walk you through some of the Python frameworks that you might want to consider using when developing your app and help you figure out which ones would be best suited to your specific project needs.
What is a framework?
A framework is a set of rules and functions that make up a system. In the world of app development, frameworks are sets of codes, or libraries, which developers can use to make their lives easier when they build an app.
Python frameworks for app development give developers the opportunity to create apps in a quick and easy manner. So how do you know which Python framework for app development is right for your project? Below we’ve compiled a list of some popular Python frameworks.
There are a lot of frameworks for app development in python. But which one is right for you and your project? Well, it depends on the needs of your project. Here are frameworks that might be perfect for your app development projects.
Django
In first place on the ranking because it is an open-source, Python-based platform, this software is quite simple to use and lets you create complex, data-driven websites. The platform has a deeper layer than meets the eye. Libraries, templates, and APIs make it perfect for creating scalable web projects. One of the more well-known frameworks using this language is Django. In its latest iterations, it is used by some of the internet's best known websites like Instagram, Pinterest, and Bitbucket.
TurboGears
The TurboGears Python framework combines both the power of a high-level language like Python with the benefits of a full-stack web development platform. TurboGears provides fast and easy to use tools for creating sophisticated web applications in record time.
Numpy
The Numpy framework is a library for Python which provides a set of tools for the manipulation and analysis of numerical data. It's commonly used in scientific applications. The library is written in C, with an interface to the Python language.
Pandas
The Pandas framework is a library for data analysis and manipulation, providing high-performance, easy-to-use data structures and data analysis tools. It's best used for tasks like reading in a spreadsheet, doing statistical computations, or preparing datasets.
Flask
We'll look at the framework that we think is one of the most popular, Flask. Flask is a Python web framework based on Werkzeug, Jinja 2 and good intentions. It has a small footprint, so it's not a heavy framework to include in your project. A lot of people like this because it doesn't feel like Flask is imposing its own opinion on how you should design your website or application.
Matplotlib
The Matplotlib framework is a powerful Python library for data visualization. It is primarily used in scientific and technical computing environments, but has many features that are useful in business settings as well. For instance, Matplotlib supports interactive web-based plotting of data sets and publication quality graphics.
The library ships with several demos and other examples to help people learn how to use it. Although the framework is free to download and use, the source code itself is not open-source.
Web2py
If you need to build a web-based application, then Web2py might be the perfect Python framework for your project. It is an open source, full-stack framework that was designed for rapid development of secure and scalable web applications. It is very easy to use and can be set up in no time thanks to its flexible architecture.
Bottle
To use Bottle framework in your project, you need to have Python installed on your computer. Once installed, it should be as simple as navigating to the folder where your project resides and running pip install bottle. There are a few different frameworks that can be used with Bottle: Sinatra, Rails, Django.
These frameworks allow developers to run the same code across different operating systems and web servers. However, if you're building something specific for one of these frameworks then I would recommend using them over using Bottle.
CherryPy
CherryPy integrates CRUD features and makes it easy for developers to create a project on many HTTP servers, with a built-in plugin system and inbuilt testing support. It is written in Python and can be installed with pip, virtualenv or conda. It has an object oriented approach, making it easy to develop large applications and a pluggable architecture that is easy to use with 3rd party packages like SQLAlchemy, MongoDB and others. Read more here.
Falcon
The Falcon framework is a high-performance Python framework for building cloud APIs and web app backends. It was designed to build large-scale, data-driven apps from the ground up, with a strong focus on performance.
It’s been called a beautifully simple and powerful package that offers out of the box tools such as CRUD generators, ORM integration (with SQLAlchemy), authentication (via Authlib), OAuth2 tokenization, complex system interactions, serialization and validation. The framework can be extended by leveraging its plugin architecture which enables rapid development of new features.
Conclusion
In conclusion, Python frameworks for app development offer a variety of tools and services to help you create a mobile app from start to finish. No matter which one you choose, the framework will provide you with an intuitive interface for developing and debugging your code, as well as a set of tools for structuring your project and reducing redundant work.
If you're not sure which framework is best for your project, consider the following criteria: what do you want to achieve with your app? What are the requirements of the app and its end users? What are the development costs? Do you have a team in mind or do you need to hire software developers in India. You should also think about factors such as maintenance, scalability, and security before making your decision.
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