Django vs Express: Which One Would I Use?

This is not a professional and in-depth comparison article but continues to compare the current hotter web frameworks along with the previous article and make some personal records and experiences, but in fact, there should be no way to directly compare the two frameworks ( And directly from the above picture, the two are actually indistinguishable in terms of community resources, and each has its own large number of supporters). After all, the languages ​​used are Python and Node.js, so it is more appropriate to start from these two languages ​​for comparison. In this article, we’ll compare two of the most used web development frameworks Django vs Express.

And these two language features should not need to be introduced, let’s compare their advantages and suitability directly:

Node.js advantages:

  • Nodejs is based on the Javascript language, and users do not need to learn a new language independently, thereby reducing the learning threshold.
  • The current fastest browser kernel V8 is used as the execution engine to ensure the performance and stability of Nodejs.
  • Nodejs is a single-threaded mechanism and asynchronous programming, making Nodejs very suitable for handling IO-intensive tasks.

Python advantages:

  • Can access the underlying language, such as C/C++ DLL/so, Java class library, .net, etc., so it can be used to integrate legacy systems.
  • A high-level object-oriented language with an intuitive and easy-to-learn syntax.
  • More efficient than Node.js on CPU-intensive processing.

When to use Node.js?

As mentioned earlier, since Node.js is based on Chrome’s V8, it has an efficient execution speed. And it uses an event-driven non-blocking I/O model, making it ideal for developing data-intensive real-time applications.

However, when dealing with “CPU-intensive” and “high-memory-demanding” tasks, Node.js performance is relatively poor, here is a direct screenshot of the source

But when developing messaging or chat applications, using Node.js is an ideal solution.

Best applications for Node.js:

  • I/Otie application
  • data stream application
  • Data-Intensive Real-Time Applications (DIRT)
  • JSON API based application
  • single page application

When to use Python?

Python has a library of open-source data analysis tools, web frameworks, and testing tools. As such, its ecosystem is the largest of any programming community. And it is very suitable for computing-intensive/CPU-intensive tasks such as machine learning and data analysis.

Best Apps for Python


After understanding the above features, let’s briefly summarize, that Node.js should be more suitable for small and web-based projects. The reason is that the execution efficiency of the V8 engine itself is good. Combined with its own asynchronous processing features, it has nothing to say in terms of processing efficiency. . But the Javascript syntax itself is less structured and less intuitive (compared to Python), so Python should still be slightly better on large projects.

Then we can compare the Express and Django frameworks, which are similar to the conclusions in the previous article. Django itself has enough related resources, many wheels have been built, and the Python syntax is simple and clear, it will be convenient to use it on large projects. sex. Node.js itself has the characteristics of Callback and asynchronous processing. Although it is not difficult to understand, it still takes some time to get started. However, compared with Tornado, which is also asynchronously processed, its community and suite resources are much richer, so the two The selection should be based on the characteristics of the project.

Then I think another point that can be considered is that Django itself relies on ORM, and the Database is usually matched with RMDBS, while Express is usually matched with MongoDB. Of course, there are also packages that can support Django + MongoDB, and Express + RMDBS, but Whether there are differences in performance and processing may need to be further explored.