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Difference between NodeJS and Django

When it comes to creating a dynamic web page, various options should come to mind: Python, Node.js, PHP, Java, Ruby and Go. And in case you are a programmer and don´t have many options, it's the right time for you to learn. Each language has a series of characteristics that make it stand out from the rest. There is no such thing as the perfect language today; only the ones that best solve a series of problems.

What is said in this article is not set on stone; it is just a personal opinion from web programmer who has been lucky enough to work on several projects with both languages, and he uses them daily.

Node JS and Django are quite powerful technologies for building versatile web and mobile applications with great user interface. Both are open to everyone and are license-free. They are used in a number of large projects and have a large web community.

Node JS is based on JavaScript and is used on the client side of web applications. On the other hand, Django works with Python applications within a deadline framework to help web developers build applications in real time and faster.

Since both technologies are equally popular and versatile, it's usually a big question to decide which one to use for your next project. There are several ways to run an application with technologies. The framework choice depends mostly on the specific requirements of the particular application.

In this post, we will make a detailed comparison between the two technologies: Node JS and Django. This will help you decide the framework depending on your project needs.

Python is much more than a language, as it is beautiful, clear, with a great community that provide events, it has thousands of high-quality libraries and incredible Frameworks. It is always a great bet to develop a big or small website. Its main framework is Django, which is also highly demanded in other areas. Django is recommended when there is a great team, in projects that are going to be extended over time and when fast development and very bespoken features are needed.

Among Django´s pros, we can find that it is comparatively easy to learn; it has a clear code, it offers high security, due to the built-in security system, it is perfect to keeps an organized project, it is easy to maintain, it is extendable to other platforms, it has varied and stable libraries, it is easy to generate tests, it allows fast web and app development and it has better performance level with built-in templates.

Among its cons, we can find that it allows the creation of a single-tier applications, it is difficult to deploy on a VPS (you need to have good Linux knowledge), it is slow compared to its competitors, it is not the best solution for real-time, it doesn't work well with small apps and it requires more knowledge about the framework itself.

Node.js is actually a runtime environment, which uses Google's V8 engine for Javascript. In other words, it is the software to run Javascript. It allows us, with very little, to set up a powerful website, with great capacity for parallel execution and easy to deploy.

It is recommended for carrying out real-time projects, for large request loads, when there are few resources on the server, and for quick team building.

Among its pros we can find that it has a very active and huge community, it´s easy to learn, it´s simple to unfold., it is fast and comfortable, it is the framework with most libraries available around the world, it is an easier system to follow with less complicated functions, and developers are free to execute commands

Among its cons, it is worth noting that its non-synchronous programming makes it difficult for programmers, it is difficult for maintaining a clear structure or style in development, it is not recommended for large projects, its framework are not the bests, it has a poor exception handling, it doesn't work very well with intensive applications as it’s a single-threaded system, it is less profitable, since it takes more time to develop applications; it is less secure and has security flaws, and it has a lower performance as it has an overall slower development speed.

When comparing them, popularity is an important aspect to consider. The number of developers available for a given language depends on its popularity. Popular languages naturally translate into larger communities with more contributions and active development. This is especially important for companies: it's easier to find the right talent if your tech stack is popular.

Node.js´s popularity has grown significantly in recent years because it is incredibly lightweight, very flexible, and has a rich set of libraries that make development easy. Additionally, it is used by thousands of companies, including big names like Twitter, Reddit, Spotify, LinkedIn, and many more.

Python is the second most loved language according to the Tiobe index, which measures the popularity of programming languages. According to the Stack Overflow survey mentioned above, Python is the third most loved program and the most desired language.

More than 66% of developers expressed an interest in continuing to develop in Python. Python is also one of the top choices for data science and machine learning projects.

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