Pros and Cons Compared: Node.js vs. Python

Posted by Rakesh Verma · September 7, 2018 · 5 Min read

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Not sure does software industry has reached its best era, but it is sure to say they have significantly evolved over the years. As a result, there are a handful of programming languages for developers to choose for front-end as well as backend development of a website or application.

Nowadays, Node.js and Python are the most discussed languages in application development. To get the development requirements fulfilled quickly, developers often confused with frameworks. Node.Js is a javascript based framework and powered by a V8 engine from Google. Node.js uses V8 Javascript interpreter with a built-in-just-in-time compiler to enhance the speed of web apps, and Python uses a PyPy built-in interpreter. Python help development team perform work faster while integrating systems more efficiently.

Selecting a programming language depends on the unique variables of a project instead of judging a technology. If you have a skilled team of both, the best strategy is to understand certain specifications of an application which needs to be developed. Depending upon the features and functionalities an application should have, you can confidently decide between Node.js and Python.

Let’s embrace NodeJs and Python which play a leading role in current development ecosystems to have better insight about both.


Launched in 2009, node.js is an open-source, cross-platform with powerful run-time environment developed on the V8 engine. Google’s V8 engine allows offshore nodejs programmers to succeed with fast, dynamic and scalable applications using the framework. Node.js completes today’s development requirements efficiently all due to its comprehensive features such as single-threaded event call back mechanism. This mechanism helps developers connect scripting languages with brute force of network programming simultaneously support multithreaded applications.

As the framework written in pure Javascript, developers can learn the programming language with fewer dependencies.

PROS of coding with NODEJS

Node.js perform faster than Python. Python during initial stages tends to be tiresome for developers. It is probably one of the reasons node.js is getting high demand among today’s startups. In today’s time, node.js is available as one of the best platforms that efficiently deal with real-time web applications. Applications that handle data-streaming queued inputs and proxy are some of the best real-time applications. Node.js also proved its compatibility and usefulness for chat app development.

Other key benefits include:

1. NodeJS is purely written in javascript; thus the language goes well with both on the client and server side
2. Its multi-core systems ensure scalable apps
3. Can handle the concurrent request with less burden
4. Enable quick loading of a web page
5. Ensure simple monitoring
6. Easy to deploy
7. Simple to support


Although it’s javascript behind Node.js, the framework doesn’t have any clean coding standards. So node.js is not the best option to consider intensive large development projects, until unless you possess a proficient Expert Node Js Remote Team that collaborates in a disciplined manner.

In node.js, developers are bound to stick to Bluebird or Promise library to keep a strict style guideline to escape breaking and derailing the project. Additionally, node.js development is prone to lose various valuable functions in the IDE such as:

1. Call-backs
2. Debugging
3. Error handling
4. Overall maintenance


Did you know Python has been with us since 1991? The programming language has received a quick surge of adoption in application development from the last few years. The technology is a clean server-side scripting language that supports multi-purpose and ensures high productivity.

Best to develop highly portable mobile and web apps, python has distinctive multi-programming model support which is as follows:

1. Imperative
2. Object-oriented
3. Functional and procedural styles


With Python, developers don’t require to stuck writing several lines of code. In comparison to other languages such as C++ or Java, Python needs fewer line of code that enables developers to work quickly; even a small team can handle Python effectively. Today, many developers find it comfortable switching between java and python.

The fewer line of code help offshore python programmers finds bugs easily and quickly for seamless maintenance and quick resolve within minutes. Python gets the compact syntax to work with that makes debugging simple.

In addition to this, offshore python development can also help you perform things whatever you can achieve with PHP code, but much faster. It might make the framework not the best choice if you are thinking about it for a large project.

Since Python has been around for a long time, developers have access to high functionalities and extensive library support. The framework also supports developers with many advanced web API’s that include the following for the back end:

1. Django
2. Flask
3. Pyramids

For the front end, Tkinter/PySide API’s are available as well. Python can be used for both mobile and web since its highly portable and accessible with a wide variety of web scripting and scraping.


Python comes with a steep learning curve. Developers could take some time to grab command over it if they are not familiar with it. Furthermore, it’s much slower than Java in a run-time environment.

The framework is also highly unsuitable for memory intensive processes since the technology is interpreted building an initial performance drop in comparison to Java. Hence, python can’t be considered to create apps that include high-end 3D graphics.

While Python remains in a continual state of evolution, the documentation available today with included functionality has poor quality. Moreover, the resources that detail the functions and related tutorials are far less when compared to Java-based languages.

It’s difficult to say which programming language is better than another as it’s all relative. It is all your team’s expertise and project specific requirements to consider first and then go ahead with the technology which better assist for all short of needs.

How has been your experience of using node.js or python in project development? We would love to hear from you!

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