NodeJs vs Python and their performance parameters

NodeJs vs Python and their performance parameters

By BoppoTechnologies | Updated On: Jan 12, 2024 04:58 PM IST

NodeJs vs Python and their performance parameters
NodeJs vs Python

Overview

Amongst the various programming languages to choose for a project, developers are often posed with a challenge to identify the best language.

Here, we are discussing performance parameters of NodeJsJS and Python across different attributes and how they can help in the development of applications.

NodeJs

NodeJs is a server-side platform that works across different operating systems including Windows and Linux. It is built on Google chrome's JavaScript engine. NodeJs utilises a V8 JavaScript interpreter that comes with a built-in, just-in-time compiler for faster working web apps. NodeJs finds applicability in small applications.

It was released first in 2009 by Opens Foundation and its latest version is NodeJs v15.12.0.

Some of the well-known companies that are using NodeJs.js are PayPal, Uber, NASA, eBay, LinkedIn, and Netflix.

Python

Python is a multipurpose programming language, dynamic and uses the pypy built-in interpreter. It can help you work faster while integrating systems. Python finds applicability in large projects.

It was released in 1991 by the Python Software Foundation. The latest version is 3.8.

Some of the well-known companies that are using Python are Google, Instagram, Facebook, Spotify, and Quora.

Though both NodeJs and Python are used for arriving at the same results, we must understand their functioning on different parameters before we conclude which one is better than the other.

Comparison parameters between NodeJs and Python

●       Architecture

NodeJs

NodeJs uses the single-threaded event loop architecture as compared to other traditional web applications that use multi-threaded request-response.

The result is concurrent tasks handling is tough as well as uses a lot of memory and processing time. But NodeJs is able to offer faster processing time and hence is used across complex mobile applications or concurrent interactive applications.

Python

Python works on asynchronous programming and does not come with built-in support and therefore requires external tools to enable the functionality. It makes use of the asyncio library for developers to create event-driven apps.

Python runs well on servers but not suitable for mobile. Even being a single-threaded and single flow language, optimised by frameworks, its processing power is a limiting factor when it comes to mobile-related projects.

Framework

Frameworks are external resources that contain tools for development, testing and enhance efficiencies.

NodeJs makes use of frameworks like – Express, Adonis and Koa

Python makes use of frameworks like – Django, Flask and TensorFlow

Speed

NodeJs

Processes the code outside web browsers and hence speed-wise efficient, as well as the event-driven non-blocking architecture, allows several requests to be processed at once, which accelerates speed.

Python

Python is not considered the best for apps that demand speed or complex calculations, because of its slow processing performance.

Syntax

NodeJs

NodeJs is supported by JavaScript and therefore uses the browser's JavaScript. It is easy for developers who already know JavaScript, C and C++. But for beginners, it is difficult to grasp.

Python

The syntax is relatively simpler as compared to NodeJs and also compact, allowing easy access to read and debug.

Scalability

NodeJs

NodeJs can be easily scaled horizontally by adding new nodes to the system and vertically by adding extra resources.

Python

For scaling, Python needs to be using multi-threading, but as Python uses Global Interpreter Lock (GIL) it does not support multi-threading.

GIL slows down the process as it does not let Python perform multi-tasks and processes only one thread at a time, making it difficult to adapt for scalability.

Extensibility

NodeJs

NodeJs can be highly customized, and even extended by integrating with several tools and API's making it a very desirable option in terms of extensibility.

Python

Python can be extended and integrated into different frameworks and networks to develop powerful web development tools and frameworks with additional features.

Libraries

NodeJs uses the Node Package Manager with a huge repository of well-documented software libraries that are easy to learn.

Python

Python uses the Pip that is ‘Pip installs Python’ libraries. Pip is easy to learn and apply.

Universality

NodeJs

NodeJs can be used for cross-platform applications including Windows, Linux, and Mac, ensuring one team takes care of the development.Can be used to develop web apps, hybrid apps as well as Cloud and IoT Solutions.

Python

Python too can be used to develop cross-platform applications. Python works great with desktop and web applications.

Both NodeJs and Python are well known and adopted universally and fare equally when it comes to universality.

Learning curve

The learning curve is the ability of developers to be able to adapt to the language and develop expertise on the tools and syntax.

NodeJs

NodeJs comes as a handy tool if you know JavaScript. NodeJs is very convenient to learn and therefore much rated on the ease of learning feature.

Python

Python comes with short code and syntaxes and therefore finds ease in learning, coding, and debugging. It is very compact and offers the same results as that of NodeJs.

Community

NodeJs

NodeJs with the last 10 years into the market has been able to create a strong community on which developers can rely for support.

Python

Python being vintage as compared to NodeJs too has strong community support for developers.

Apps it is best suitable for

NodeJs uses event-based architecture and therefore it ideally fits projects that require concurrent requests as well as enormous client-side rendering or frequent transfers of data between clients and servers. Therefore NodeJs is suitable for real-time chatbots, messengers, and single-page apps with complex features as well as IoT Solutions.

Python is recommended for both small and large apps. It is ideal for apps that require visualisation and analysis and therefore recommended in voice and face recognition, image processing, machine learning and 3D modelling systems.

Conclusion

While both technologies are well known and can be used for developing a variety of apps, the developer has to specifically list down the requirement of the app and evaluate according to the different parameters listed here and other parameters for the ease of developing the app.

●       The nature of the app- Web or mobile, concurrent processing between client and server, speed of operations, the scale of development, all this would primarily help decide if NodeJs or Python should be the choice.

●       The app development should also consider getting trained developers and a support team to affect the process. The availability of human resources can be one deciding factor.

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